Handbook of Deep Learning in Biomedical Engineering and Health InformaticsКНИГИ » ПРОГРАММИНГ
Название: Handbook of Deep Learning in Biomedical Engineering and Health Informatics Автор: E. Golden Julie, Y. Harold Robinson, S.M. Jaisakthi Издательство: Apple Academic Press, CRC Press Год: 2022 Страниц: 345 Язык: английский Формат: pdf (true) Размер: 41.1 MB
This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep Learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease.
This volume delves into a variety of applications, techniques, algorithms, platforms, and tools used in this area, such as image segmentation, classification, registration, and computer-aided analysis. The editors proceed on the principle that accurate diagnosis of disease depends on image acquisition and interpretation. There are many methods to get high resolution radiological images, but we are still lacking in automated image interpretation. Currently deep learning techniques are providing a feasible solution for automatic diagnosis of disease with good accuracy. Analyzing clinical data using deep learning techniques enables clinicians to diagnose diseases at an early stage and treat patients more effectively.
Chapters explore such approaches as deep learning algorithms, convolutional neural networks and recurrent neural network architecture, image stitching techniques, deep RNN architectures, and more. This volume also depicts how deep learning techniques can be applied for medical diagnostics of several specific health scenarios, such as cancer, COVID-19, acute neurocutaneous syndrome, cardiovascular and neuro diseases, skin lesions and skin cancer, etc.
Key features:
Introduces important recent technological advancements in the field Describes the various techniques, platforms, and tools used in biomedical deep learning systems Includes informative case studies that help to explain the new technologies
Handbook of Deep Learning in Biomedical Engineering and Health Informatics provides a thorough exploration of biomedical systems applied with deep learning techniques and will provide valuable information for researchers, medical and industry practitioners, academicians, and students.
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Deep Learning for Medical Image Analysis Название: Deep Learning for Medical Image Analysis Автор: S. Kevin Zhou Издательство: Academic Press Год: 2017 Страниц: 458 Формат: True PDF Размер:...
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Handbook of Deep Learning in Biomedical Engineering and Health Informatics 
Название: Handbook of Deep Learning in Biomedical Engineering and Health Informatics
