Applications of Deep Learning in Medical Imaging: a brief review
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Hassouna, Mohammed, Al-Antary, Mohammad 
ORCID: https://orcid.org/0000-0001-8820-2843, Saleh, Mohammed and Al Barghuthi, Nedaa Baker
(2023)
Applications of Deep Learning in Medical Imaging: a brief review.
In: 2023 Advances in Science and Engineering Technology International Conferences (ASET).
Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, USA.
ISBN 978-1665454742
ISSN 2831-6886 (Print), 2831-6878 (Online)
(doi:10.1109/ASET56582.2023.10180645)
Abstract
This study reviewed the applications of deep learning (DL) in medical imaging, including neuro, retinal, pulmonary, digital pathology, breast, and cardiac systems. Deep Learning solves many of the issues facing today's health care systems. DL has played a defining role in image classification, object detection, and segmentation. From the results, integrating deep learning algorithms into image analysis has enhanced the review of pulmonary medical images, digital pathology, neurologic oncology, chest radiography normalization, cancer detection among other applications. Nonetheless, small-scale medical datasets (which impedes training) emerge as a core issue affecting the generalisation and performance of deep learning.
| Item Type: | Conference Proceedings |
|---|---|
| Title of Proceedings: | 2023 Advances in Science and Engineering Technology International Conferences (ASET) |
| Additional Information: | 2023 Advances in Science and Engineering Technology International Conferences (ASET) 20-23 February 2023, Dubai, United Arab Emirates. |
| Uncontrolled Keywords: | Deep Learning, Medical Imaging, cancer detection, retinal image analysis, pulmonary medical images, brain abnormalities |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > R Medicine (General) |
| Faculty / School / Research Centre / Research Group: | Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) |
| Last Modified: | 02 Nov 2026 13:26 |
| URI: | https://gala.gre.ac.uk/id/eprint/54865 |
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