Deep Learning Models for Medical Imaging /
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...
| Main Authors: | , , , |
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| Format: | software, multimedia |
| Language: | eng |
| Published: |
London : Academic Press,
2021
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| Subjects: | |
| Online Access: | https://www.sciencedirect.com/science/book/9780128235041 |
| _version_ | 1826472444751249408 |
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| author | Santosh, K. C., author 651156 Das, Nibaran, 1981-, author 651157 Ghosh, Swarnendu, author 651158 ScienceDirect (Online service) 7722 |
| author_facet | Santosh, K. C., author 651156 Das, Nibaran, 1981-, author 651157 Ghosh, Swarnendu, author 651158 ScienceDirect (Online service) 7722 |
| author_sort | Santosh, K. C., author 651156 |
| collection | OCEAN |
| 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. |
| first_indexed | 2024-03-05T17:18:35Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:605899 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:18:35Z |
| publishDate | 2021 |
| publisher | London : Academic Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6058992023-10-05T04:46:46ZDeep Learning Models for Medical Imaging / Santosh, K. C., author 651156 Das, Nibaran, 1981-, author 651157 Ghosh, Swarnendu, author 651158 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 London : Academic Press,©20222021engDeep 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.Includes bibliographical references and indexChapter 1. Introduction -- Chapter 2. Deep learning: a review -- Chapter 3. Deep learning models -- Chapter 4. Cytology image analysis -- Chapter 5. COVID-19: prediction, screening, and decision-making.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.Diagnostic imagingArtificial intelligencehttps://www.sciencedirect.com/science/book/9780128235041URN:ISBN:9780128235041Remote access restricted to users with a valid UTM ID via VPN. |
| spellingShingle | Diagnostic imaging Artificial intelligence Santosh, K. C., author 651156 Das, Nibaran, 1981-, author 651157 Ghosh, Swarnendu, author 651158 ScienceDirect (Online service) 7722 Deep Learning Models for Medical Imaging / |
| title | Deep Learning Models for Medical Imaging / |
| title_full | Deep Learning Models for Medical Imaging / |
| title_fullStr | Deep Learning Models for Medical Imaging / |
| title_full_unstemmed | Deep Learning Models for Medical Imaging / |
| title_short | Deep Learning Models for Medical Imaging / |
| title_sort | deep learning models for medical imaging |
| topic | Diagnostic imaging Artificial intelligence |
| url | https://www.sciencedirect.com/science/book/9780128235041 |
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