Description: Deep Learning in Medical Image Analysis : Challenges and Applications, Paperback by Lee, Gobert (EDT); Fujita, Hiroshi (EDT), ISBN 303033130X, ISBN-13 9783030331306, Like New Used, Free shipping in the US This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.
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Book Title: Deep Learning in Medical Image Analysis : Challenges and Applications
Number of Pages: VIII, 181 Pages
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2021
Topic: Biotechnology, Radiology, Radiotherapy & Nuclear Medicine, Biomedical
Illustrator: Yes
Genre: Technology & Engineering, Science, Medical
Item Weight: 16 Oz
Author: Hiroshi Fujita
Item Length: 10 in
Item Width: 7 in
Book Series: Advances in Experimental Medicine and Biology Ser.
Format: Trade Paperback
