Deep Learning Models for Medical Imaging EPUB
by KC Santosh, Nibaran Das, Swarnendu Ghosh
Part of the Primers in Biomedical Imaging Devices and Systems series
EPUB
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Description
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.
- Provides a step-by-step approach to develop deep learning models
- Presents case studies showing end-to-end implementation (source codes: available upon request)
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- Format:EPUB
- Pages:170 pages
- Publisher:Elsevier Science
- Publication Date:07/09/2021
- Category:
- ISBN:9780128236505
Information
-
Download Now
- Format:EPUB
- Pages:170 pages
- Publisher:Elsevier Science
- Publication Date:07/09/2021
- Category:
- ISBN:9780128236505
