Advances in Deep Learning for Medical Image Analysis (Hardcover)

This reference text introduces the classical probabilistic model, deep learning, and big data techniques for improving medical imaging and detecting various diseases. The text addresses a wide variety of application areas in medical imaging where deep learning techniques provide solutions with lesser human intervention and reduced time. It comprehensively covers important machine learning for signal analysis, deep learning techniques for cancer detection, diabetic cases, skin image analysis, Alzheimer's disease detection, coronary disease detection, medical image forensic, fetal anomaly detection, and plant phytology. The text will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	May 2022
First published:	2022
Editors:	Archana Mire • Vinayak Elangovan • Shailaja Patil
Dimensions:	234 x 156 x 16mm (L x W x T)
Format:	Hardcover
Pages:	154
ISBN-13:	978-1-03-213716-2
Categories:	Books > Professional & Technical > Environmental engineering & technology > General Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-03-213716-9
Barcode:	9781032137162

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