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.
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.
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.
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 189 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.
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.
Download or read book Perinatal Preterm and Paediatric Image Analysis written by Ilaria Canavotto and published by . This book was released on 2022 with total page 0 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.
Download or read book Perinatal Preterm and Paediatric Image Analysis written by Daphna Link-Sourani and published by Springer. This book was released on 2024-12-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2024, held in conjunction with the 27th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024. The 14 full papers presented in this book were carefully reviewed and selected from 17 submissions. The methods presented in these proceedings cover the full scope of medical image analysis including segmentation, registration, classification, reconstruction, population analysis and advanced structural, and functional and longitudinal modeling, all with an application to younger cohorts.
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.
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.
Download or read book Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning written by Kumar, D. Satish and published by IGI Global. This book was released on 2023-09-25 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence models are being used to make labor and delivery safer for mothers and newborns. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. This is a critical area of study as maternal and infant health are indispensable for a healthy society. Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning considers the recent advances, challenges, and best practices of artificial intelligence and machine learning in relation to pregnancy complications. Covering key topics such as pregnancy complications, wearable sensors, and healthcare technologies, this premier reference source is ideal for nurses, doctors, computer scientists, medical professionals, industry professionals, researchers, academicians, scholars, instructors, and students.
Download or read book Pediatric Neuroimaging State of the Art An Issue of Magnetic Resonance Imaging Clinics of North America E Book written by Mai-Lan Ho and published by Elsevier Health Sciences. This book was released on 2021-11-03 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Approx.240 pagesApprox.240 pages
Download or read book Beamforming in Medical Ultrasound Imaging written by Babak Mohammadzadeh Asl and published by Springer Nature. This book was released on 2023-11-28 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the concept of medical ultrasound imaging and discusses array signal processing in ultrasound. Signal processing using different beamforming techniques in order to achieve a desirable reconstructed image and, consequently, obtain useful information about the imaging medium is the main focus of this book. In this regard, the principles of image reconstruction techniques in ultrasound imaging are fully described, and the required processing steps are completely expanded and analyzed in detail. Simulation results to compare the performance of different beamformers are also included in this book to visualize their differences to the reader. Other advanced techniques in the field of medical ultrasound data processing, as well as their corresponding recent achievements, are also presented in this book. Simply put, in this book, processing of medical ultrasound data from different aspects and acquiring information from them in different manners are covered and organized in different chapters. Before going through the detailed explanation in each chapter, it gives the reader an overview of the considered issue and focuses his\her mind on the challenge ahead. The contents of the book are also presented in such a way that they are easy for the reader to understand. This book is recommended for researchers who study medical ultrasound data processing.
Download or read book Atlas of Fetal Ultrasound written by Victor Bunduki and published by Springer. This book was released on 2017-11-25 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book is an illustrated guide on fetal medicine, including a wealth of normal and pathological/malformations ultrasound images, throughout the whole pregnancy. Thus, the book intends to fill two gaps in once: The lack of a material discussing the basic principles of fetal ultrasound, which are the basement for a more efficient learning in fetal medicine. . The need for a thorough approach in fetal medicine, presenting both normal and pathological imaging, allowing a detailed evaluation of clinical conditions of importance in prenatal care and follow up. The Atlas of Ultrasound Imaging is an up to date guide to all obstetricians, gynecologists and pediatricians who intend to upgrade their knowledge in fetal medicine, as well as to any other professional, professor, student or research interested in fetal ultrasound.
Download or read book Medical Image Computing and Computer Assisted Intervention MICCAI 2024 written by Marius George Linguraru and published by Springer Nature. This book was released on with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Engineering and Medicine in Extreme Environments written by Tobias Cibis and published by Springer Nature. This book was released on 2022-06-09 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together in-depth information on a wide array of bio-engineering topics and their application to enhance human health, performance, comfort, and survival in extreme environments. Contributions from biomedical engineering, information systems, medicine and physiology, and medical engineering are presented in relation to a broad range of harsh and extreme environmental scenarios, including underwater, terrestrial (both natural and man-made), and space travel. Physicians, engineers, and scientists, as well as researchers and graduate students, will find the book to be an invaluable resource. Details effects of extreme environments on human physiology; Presents human-environment interaction in different scenarios; Overview of engineering challenges and problems in extreme environments.
Download or read book AI and Big Data in Cardiology written by Nicolas Duchateau and published by Springer Nature. This book was released on 2023-05-04 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a detailed technical overview of the use and applications of artificial intelligence (AI), machine learning and big data in cardiology. Recent technological advancements in these fields mean that there is significant gain to be had in applying these methodologies into day-to-day clinical practice. Chapters feature detailed technical reviews and highlight key current challenges and limitations, along with the available techniques to address them for each topic covered. Sample data sets are also included to provide hands-on tutorials for readers using Python-based Jupyter notebooks, and are based upon real-world examples to ensure the reader can develop their confidence in applying these techniques to solve everyday clinical problems. Artificial Intelligence and Big Data in Cardiology systematically describes and technically reviews the latest applications of AI and big data within cardiology. It is ideal for use by the trainee and practicing cardiologist and informatician seeking an up-to-date resource on the topic with which to aid them in developing a thorough understanding of both basic concepts and recent advances in the field.
Download or read book Machine Learning Big Data and IoT for Medical Informatics written by Pardeep Kumar and published by Academic Press. This book was released on 2021-06-13 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data. This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT. - Explains the uses of CNN, Deep Learning and extreme machine learning concepts for the design and development of predictive diagnostic systems. - Includes several privacy preservation techniques for medical data. - Presents the integration of Internet of Things with predictive diagnostic systems for disease diagnosis. - Offers case studies and applications relating to machine learning, big data, and health care analysis.
