Hybrid Machine Intelligence for Medical Image Analysis (Paperback, 1st ed. 2020)

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Computational Intelligence, 841
Release date:	August 2020
First published:	2020
Editors:	Siddhartha Bhattacharyya • Debanjan Konar • Jan Platos • Chinmoy Kar • Kalpana Sharma
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	293
Edition:	1st ed. 2020
ISBN-13:	978-981-13-8932-0
Categories:	Books > Medicine > Other branches of medicine > Medical imaging > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	981-13-8932-2
Barcode:	9789811389320

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