Deep Learning Models for Medical Imaging (Paperback)

Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow 'with' and 'without' transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientists to industrialists.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Series:	Primers in Biomedical Imaging Devices and Systems
Release date:	September 2021
First published:	2022
Authors:	K. C. Santosh • Nibaran Das • Swarnendu Ghosh
Dimensions:	235 x 191 x 14mm (L x W x T)
Format:	Paperback
Pages:	170
ISBN-13:	978-0-12-823504-1
Categories:	Books > Medicine > Other branches of medicine > Medical imaging > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Promotions
LSN:	0-12-823504-7
Barcode:	9780128235041

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