Advances in Deep Learning for Medical Image Analysis

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.

ISBN:	9781032137162
Publisher:	Taylor & Francis
Imprint:	CRC Press
Published date:	27 Apr 2022
DEWEY:	616.07540285631
DEWEY edition:	23
Language:	English
Number of pages:	168
Weight:	392g
Height:	241mm
Width:	159mm
Spine width:	16mm

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