Medical image analysis using deep learning: a review
Over the recent past, deep learning is one of the core research directions which has gained a great deal of attention due to its outstanding performance in the area of medical image analysis. This paper aims to present a review of deep learning concepts related to medical imaging. We examine the use...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
IEEE
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/77180/ http://irep.iium.edu.my/77180/8/77180%20Medical%20Image%20Analysis.pdf |
| _version_ | 1848788397260275712 |
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| author | Nisa, Syed Qamrun Ismail, Amelia Ritahani MD Ali, M. A. B. Khan, Mohammad Shadab |
| author_facet | Nisa, Syed Qamrun Ismail, Amelia Ritahani MD Ali, M. A. B. Khan, Mohammad Shadab |
| author_sort | Nisa, Syed Qamrun |
| building | IIUM Repository |
| collection | Online Access |
| description | Over the recent past, deep learning is one of the core research directions which has gained a great deal of attention due to its outstanding performance in the area of medical image analysis. This paper aims to present a review of deep learning concepts related to medical imaging. We examine the use of deep learning for medical image analysis including segmentation, object detection and classification. Deep learning techniques including convolutional neural networks (CNNs), recurrent neural network (RNNs) and auto-encoder (AE) are also discussed in this paper. |
| first_indexed | 2025-11-14T17:40:10Z |
| format | Proceeding Paper |
| id | iium-77180 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T17:40:10Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-771802020-07-09T04:23:36Z http://irep.iium.edu.my/77180/ Medical image analysis using deep learning: a review Nisa, Syed Qamrun Ismail, Amelia Ritahani MD Ali, M. A. B. Khan, Mohammad Shadab QA75 Electronic computers. Computer science R Medicine (General) Over the recent past, deep learning is one of the core research directions which has gained a great deal of attention due to its outstanding performance in the area of medical image analysis. This paper aims to present a review of deep learning concepts related to medical imaging. We examine the use of deep learning for medical image analysis including segmentation, object detection and classification. Deep learning techniques including convolutional neural networks (CNNs), recurrent neural network (RNNs) and auto-encoder (AE) are also discussed in this paper. IEEE 2019 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/77180/8/77180%20Medical%20Image%20Analysis.pdf Nisa, Syed Qamrun and Ismail, Amelia Ritahani and MD Ali, M. A. B. and Khan, Mohammad Shadab (2019) Medical image analysis using deep learning: a review. In: 2019 IEEE International Conference on Innovative Research and Development (ICIRD), 28 -30 June 2019, Depok, Indonesia. http://icird.etssm.org/wp-content/uploads/2019/06/booklet.pdf |
| spellingShingle | QA75 Electronic computers. Computer science R Medicine (General) Nisa, Syed Qamrun Ismail, Amelia Ritahani MD Ali, M. A. B. Khan, Mohammad Shadab Medical image analysis using deep learning: a review |
| title | Medical image analysis using deep learning: a review |
| title_full | Medical image analysis using deep learning: a review |
| title_fullStr | Medical image analysis using deep learning: a review |
| title_full_unstemmed | Medical image analysis using deep learning: a review |
| title_short | Medical image analysis using deep learning: a review |
| title_sort | medical image analysis using deep learning: a review |
| topic | QA75 Electronic computers. Computer science R Medicine (General) |
| url | http://irep.iium.edu.my/77180/ http://irep.iium.edu.my/77180/ http://irep.iium.edu.my/77180/8/77180%20Medical%20Image%20Analysis.pdf |