Deep Learning Models for Medical Imaging

By KC Santosh, Nibaran Das, Swarnendu Ghosh 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. Product Details Publisher ‏ : ‎ Academic Press; 1st edition (September 22, 2021) Language ‏ : ‎ English Paperback ‏ : ‎ 170 pages ISBN-10 ‏ : ‎ 0128235047 ISBN-13 ‏ : ‎ 978-0128235041 ISBN-13 ‏ : ‎ 9780128235041 eText ISBN: 9780128236505