Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis

Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis

Author: Yipeng Hu

Publisher: Springer Nature

Published: 2020-10-01

Total Pages: 345

ISBN-13: 3030603342

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This book constitutes the proceedings of the First International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2020, and the 5th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with MICCAI 2020, the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Lima, Peru, but changed to an online event due to the Coronavirus pandemic. For ASMUS 2020, 19 contributions were accepted from 26 submissions; the 14 contributions from the PIPPI workshop were carefully reviewed and selected from 21 submissions. The papers were organized in topical sections named: diagnosis and measurement; segmentation, captioning and enhancement; localisation and guidance; robotics and skill assessment, and PIPPI 2020.


Book Synopsis Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis by : Yipeng Hu

Download or read book Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis written by Yipeng Hu and published by Springer Nature. This book was released on 2020-10-01 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2020, and the 5th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with MICCAI 2020, the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Lima, Peru, but changed to an online event due to the Coronavirus pandemic. For ASMUS 2020, 19 contributions were accepted from 26 submissions; the 14 contributions from the PIPPI workshop were carefully reviewed and selected from 21 submissions. The papers were organized in topical sections named: diagnosis and measurement; segmentation, captioning and enhancement; localisation and guidance; robotics and skill assessment, and PIPPI 2020.

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis

Author: Qian Wang

Publisher: Springer Nature

Published: 2019-10-12

Total Pages: 190

ISBN-13: 3030328759

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This book constitutes the refereed joint proceedings of the First International Workshop on Smart Ultrasound Imaging, SUSI 2019, and the 4th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 10 full papers presented at SUSI 2019 and the 10 full papers presented at PIPPI 2019 were carefully reviewed and selected. The SUSI papers cover a wide range of medical applications of B-Mode ultrasound, including cardiac (echocardiography), abdominal (liver), fetal, musculoskeletal, and lung. The PIPPI papers cover the detailed scientific study of volumetric growth, myelination and cortical microstructure, placental structure and function.


Book Synopsis Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis by : Qian Wang

Download or read book Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis written by Qian Wang and published by Springer Nature. This book was released on 2019-10-12 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the First International Workshop on Smart Ultrasound Imaging, SUSI 2019, and the 4th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 10 full papers presented at SUSI 2019 and the 10 full papers presented at PIPPI 2019 were carefully reviewed and selected. The SUSI papers cover a wide range of medical applications of B-Mode ultrasound, including cardiac (echocardiography), abdominal (liver), fetal, musculoskeletal, and lung. The PIPPI papers cover the detailed scientific study of volumetric growth, myelination and cortical microstructure, placental structure and function.

Perinatal, Preterm and Paediatric Image Analysis

Perinatal, Preterm and Paediatric Image Analysis

Author: Roxane Licandro

Publisher: Springer Nature

Published: 2022-09-22

Total Pages: 128

ISBN-13: 3031171179

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This book constitutes the refereed proceedings of the First International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2021. The 10 full papers and 1 short papers presented at PIPPI 2022 were carefully reviewed and selected from 12 submissions. PIPPI 2022 workshop complements the main MICCAI conference by providing a focused discussion of perinatal and paediatric image analysis, including the application of sophisticated analysis tools to fetal, neonatal and paediatric imaging data.


Book Synopsis Perinatal, Preterm and Paediatric Image Analysis by : Roxane Licandro

Download or read book Perinatal, Preterm and Paediatric Image Analysis written by Roxane Licandro and published by Springer Nature. This book was released on 2022-09-22 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2022, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2021. The 10 full papers and 1 short papers presented at PIPPI 2022 were carefully reviewed and selected from 12 submissions. PIPPI 2022 workshop complements the main MICCAI conference by providing a focused discussion of perinatal and paediatric image analysis, including the application of sophisticated analysis tools to fetal, neonatal and paediatric imaging data.

Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis

Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis

Author: Andrew Melbourne

Publisher: Springer

Published: 2018-09-14

Total Pages: 180

ISBN-13: 303000807X

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This book constitutes the refereed joint proceedings of the First International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and the Third International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 5 full papers presented at DATRA 2018 and the 12 full papers presented at PIPPI 2018 were carefully reviewed and selected. The DATRA papers cover a wide range of exploring pattern recognition technologies for tackling clinical issues related to the follow-up analysis of medical data with focus on malignancy progression analysis, computer-aided models of treatment response, and anomaly detection in recovery feedback. The PIPPI papers cover topics of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period.


Book Synopsis Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis by : Andrew Melbourne

Download or read book Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis written by Andrew Melbourne and published by Springer. This book was released on 2018-09-14 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the First International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and the Third International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 5 full papers presented at DATRA 2018 and the 12 full papers presented at PIPPI 2018 were carefully reviewed and selected. The DATRA papers cover a wide range of exploring pattern recognition technologies for tackling clinical issues related to the follow-up analysis of medical data with focus on malignancy progression analysis, computer-aided models of treatment response, and anomaly detection in recovery feedback. The PIPPI papers cover topics of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period.

Perinatal, Preterm and Paediatric Image Analysis

Perinatal, Preterm and Paediatric Image Analysis

Author: Daphna Link-Sourani

Publisher: Springer Nature

Published: 2023-10-11

Total Pages: 128

ISBN-13: 3031455444

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​This book constitutes the refereed proceedings of the 8th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023. The 10 full papers presented at PIPPI 2023 were carefully reviewed and selected from 14 submissions. PIPPI 2023 workshop complements the main MICCAI conference by providing a focused discussion on the challenges of image analysis techniques as applied to the fetal and infant settings.


Book Synopsis Perinatal, Preterm and Paediatric Image Analysis by : Daphna Link-Sourani

Download or read book Perinatal, Preterm and Paediatric Image Analysis written by Daphna Link-Sourani and published by Springer Nature. This book was released on 2023-10-11 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​This book constitutes the refereed proceedings of the 8th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2023, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023. The 10 full papers presented at PIPPI 2023 were carefully reviewed and selected from 14 submissions. PIPPI 2023 workshop complements the main MICCAI conference by providing a focused discussion on the challenges of image analysis techniques as applied to the fetal and infant settings.

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis

Author: Carole H. Sudre

Publisher: Springer Nature

Published: 2021-09-30

Total Pages: 306

ISBN-13: 3030877353

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This book constitutes the refereed proceedings of the Third Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2021, and the 6th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2021, held in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic.For UNSURE 2021, 13 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. PIPPI 2021 accepted 14 papers from the 18 submissions received. The workshop aims to bring together methods and experience from researchers and authors working on these younger cohorts and provides a forum for the open discussion of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period.


Book Synopsis Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis by : Carole H. Sudre

Download or read book Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis written by Carole H. Sudre and published by Springer Nature. This book was released on 2021-09-30 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2021, and the 6th International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2021, held in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic.For UNSURE 2021, 13 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. PIPPI 2021 accepted 14 papers from the 18 submissions received. The workshop aims to bring together methods and experience from researchers and authors working on these younger cohorts and provides a forum for the open discussion of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period.

Perinatal Imaging

Perinatal Imaging

Author: Fred E. Avni

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 332

ISBN-13: 364256402X

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Fetal and perinatal medicine is a rapidly expanding field, and noninvasive imaging by means of ultrasonography and MRI is playing a major role in refining diagnosis and therapy. Recent technological advances in these imaging modalities now allow unprecedented morphological depiction of the fetus and excellent insight into complex pathologic conditions, as well as yielding superior guidance for therapeutic fetal inter ventions. I am very pleased that Professor F. Avni , a leading international pediatric radiologist, was prepared to take on the challenging task of preparing and editing this comprehen sive and up-to-date overview of our knowledge in the area of fetal and perinatal imaging. He has been successful in engaging well-known experts with outstanding qualifications in fetal imaging to join him in this venture. I would like to congratulate Professor Avni and all contributing authors most sincerely for their excellent work. I am confident that this outstanding volume will meet with great interest not only from general as well as specialized pediatric radiologists but also from neonatologists and pediatricians. I trust it will enjoy the same success as many previous volumes in this series. ALBERT L. BAERT Leuven Preface Fetal and perinatal medicine would not have developed without the extensive use of obstetric ultrasound (US). In order to be efficient, the examination has to be performed very carefully and by sonologists fully conversant with the normal and abnormal development of the fetus.


Book Synopsis Perinatal Imaging by : Fred E. Avni

Download or read book Perinatal Imaging written by Fred E. Avni and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fetal and perinatal medicine is a rapidly expanding field, and noninvasive imaging by means of ultrasonography and MRI is playing a major role in refining diagnosis and therapy. Recent technological advances in these imaging modalities now allow unprecedented morphological depiction of the fetus and excellent insight into complex pathologic conditions, as well as yielding superior guidance for therapeutic fetal inter ventions. I am very pleased that Professor F. Avni , a leading international pediatric radiologist, was prepared to take on the challenging task of preparing and editing this comprehen sive and up-to-date overview of our knowledge in the area of fetal and perinatal imaging. He has been successful in engaging well-known experts with outstanding qualifications in fetal imaging to join him in this venture. I would like to congratulate Professor Avni and all contributing authors most sincerely for their excellent work. I am confident that this outstanding volume will meet with great interest not only from general as well as specialized pediatric radiologists but also from neonatologists and pediatricians. I trust it will enjoy the same success as many previous volumes in this series. ALBERT L. BAERT Leuven Preface Fetal and perinatal medicine would not have developed without the extensive use of obstetric ultrasound (US). In order to be efficient, the examination has to be performed very carefully and by sonologists fully conversant with the normal and abnormal development of the fetus.

Healthcare Industry 4.0

Healthcare Industry 4.0

Author: P. Karthikeyan

Publisher: CRC Press

Published: 2023-08-28

Total Pages: 186

ISBN-13: 1000930572

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This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection. Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing. It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring. Features: Provides a state-of-the-art computer vision application in the digital health care industry Reviews advances in computer vision and data science technologies for analyzing information on human function and disability Includes practical implementation of computer vision application using recent tools and software Explores computer vision-enabled medical/clinical data security in the cloud Includes case studies from the leading computer vision integrated vendors like Amazon, Microsoft, IBM, and Google This book is aimed at researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering.


Book Synopsis Healthcare Industry 4.0 by : P. Karthikeyan

Download or read book Healthcare Industry 4.0 written by P. Karthikeyan and published by CRC Press. This book was released on 2023-08-28 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection. Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing. It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring. Features: Provides a state-of-the-art computer vision application in the digital health care industry Reviews advances in computer vision and data science technologies for analyzing information on human function and disability Includes practical implementation of computer vision application using recent tools and software Explores computer vision-enabled medical/clinical data security in the cloud Includes case studies from the leading computer vision integrated vendors like Amazon, Microsoft, IBM, and Google This book is aimed at researchers and graduate students in bioengineering, intelligent systems, and computer science and engineering.

Machine Learning and Deep Learning Techniques for Medical Image Recognition

Machine Learning and Deep Learning Techniques for Medical Image Recognition

Author: Ben Othman Soufiene

Publisher: CRC Press

Published: 2023-12-01

Total Pages: 270

ISBN-13: 1003805671

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Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples. Features: Offers important key aspects in the development and implementation of machine learning and deep learning approaches toward developing prediction tools and models and improving medical diagnosis Teaches how machine learning and deep learning algorithms are applied to a broad range of application areas, including chest X-ray, breast computer-aided detection, lung and chest, microscopy, and pathology Covers common research problems in medical image analysis and their challenges Focuses on aspects of deep learning and machine learning for combating COVID-19 Includes pertinent case studies This book is aimed at researchers and graduate students in computer engineering, artificial intelligence and machine learning, and biomedical imaging.


Book Synopsis Machine Learning and Deep Learning Techniques for Medical Image Recognition by : Ben Othman Soufiene

Download or read book Machine Learning and Deep Learning Techniques for Medical Image Recognition written by Ben Othman Soufiene and published by CRC Press. This book was released on 2023-12-01 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples. Features: Offers important key aspects in the development and implementation of machine learning and deep learning approaches toward developing prediction tools and models and improving medical diagnosis Teaches how machine learning and deep learning algorithms are applied to a broad range of application areas, including chest X-ray, breast computer-aided detection, lung and chest, microscopy, and pathology Covers common research problems in medical image analysis and their challenges Focuses on aspects of deep learning and machine learning for combating COVID-19 Includes pertinent case studies This book is aimed at researchers and graduate students in computer engineering, artificial intelligence and machine learning, and biomedical imaging.

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)

Author: Ruidan Su

Publisher: Springer Nature

Published:

Total Pages: 414

ISBN-13: 9819713358

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Book Synopsis Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) by : Ruidan Su

Download or read book Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) written by Ruidan Su and published by Springer Nature. This book was released on with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: