Deep Learning Models for Medical Imaging
Book Details
Format
Paperback / Softback
ISBN-10
0128235047
ISBN-13
9780128235041
Publisher
Elsevier Science Publishing Co Inc
Imprint
Academic Press Inc
Country of Manufacture
NL
Country of Publication
GB
Publication Date
Sep 8th, 2021
Print length
170 Pages
Weight
384 grams
Dimensions
19.10 x 23.20 x 1.40 cms
Product Classification:
Medical imagingMedical imagingComputer vision
Ksh 14,200.00
Manufactured on Demand
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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.
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