DEEP LEARNING FOR MEDICAL IMAGE ANALYSIS
ZHOU KEVIN S
DEEP LEARNING FOR MEDICAL IMAGE ANALYSIS - SECOND EDITION - CAMBRIDGE ELSEVIER INC ACADEMIC PRESS 2024 - XXIII 518P 18X15X2 C.M
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
978-0-323-85124-4
MACHINE LEARNING
COMPUTER SCIENCE
--R-23
616.075 ZHO
DEEP LEARNING FOR MEDICAL IMAGE ANALYSIS - SECOND EDITION - CAMBRIDGE ELSEVIER INC ACADEMIC PRESS 2024 - XXIII 518P 18X15X2 C.M
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
978-0-323-85124-4
MACHINE LEARNING
COMPUTER SCIENCE
--R-23
616.075 ZHO