Deep Learning Models for Medical Imaging is popular PDF and ePub book, written by KC Santosh in 2021-09-07, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Deep Learning Models for Medical Imaging can be Read Online from any device for your convenience.
Deep Learning Models for Medical Imaging Book PDF Summary
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)
Detail Book of Deep Learning Models for Medical Imaging PDF
- Author : KC Santosh
- Release : 07 September 2021
- Publisher : Academic Press
- ISBN : 9780128236505
- Genre : Computers
- Total Page : 172 pages
- Language : English
- PDF File Size : 14,6 Mb
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