DEEP LEARNING FOR MEDICAL IMAGE ANALYSIS

By:

ZHOU KEVIN S

Contributor(s):

Material type:

TextPublication details: CAMBRIDGE ELSEVIER INC ACADEMIC PRESS 2024Edition: SECOND EDITIONDescription: XXIII 518P 18X15X2 C.MISBN:

978-0-323-85124-4

Subject(s):

DDC classification:

SECOND 616.075 ZHO

Summary: This book serves as both a textbook and reference for researchers, medical imaging specialists, and AI engineers. It systematically presents how deep learning methods, particularly convolutional neural networks (CNNs), autoencoders, recurrent networks, and generative adversarial networks (GANs), have transformed medical image analysis tasks such as detection, segmentation, classification, and diagnosis.

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Reference	Central Library, Aditya Institute of Technology and Management GF-04/L	Central Library, Aditya Institute of Technology and Management	Computer Science		616.075 ZHO (Browse shelf(Opens below))					Not for Loan	DEEP LEARNING		53997

MEDICAL IMAGE ANALYSIS

This book serves as both a textbook and reference for researchers, medical imaging specialists, and AI engineers. It systematically presents how deep learning methods, particularly convolutional neural networks (CNNs), autoencoders, recurrent networks, and generative adversarial networks (GANs), have transformed medical image analysis tasks such as detection, segmentation, classification, and diagnosis.

COMPUTER SCIENCE

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