Deep Learning in Medical Image Analysis : Challenges and Applications

Language: English

Published by Springer, 2021

303033130X / 9783030331306

Series: Book 475 of 544 - Advances in Experimental Medicine and Biology

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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 digital mammogramsand 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.

Seller Inventory # 9783030331306

Title
Deep Learning in Medical Image Analysis : Challenges and Applications
Author
Gobert Lee
Publisher
Springer
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
303033130X
ISBN 13
9783030331306
Item weight
373 grams
Dimensions
254x178x11 mm
Series
Book 475 of 544: Advances in Experimental Medicine and Biology

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item5 to 7 business days7 to 10 business days
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Einbeck, Germany 37574