https://gala.gre.ac.uk/id/eprint/54865 2026-11-02T13:26:22Z info:eu-repo/semantics/descriptiveMetadata https://gala.gre.ac.uk/id/eprint/54865/ Applications of Deep Learning in Medical Imaging: a brief review Hassouna, Mohammed Al-Antary, Mohammad Saleh, Mohammed Al Barghuthi, Nedaa Baker Q Science (General) QA75 Electronic computers. Computer science R Medicine (General) 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. Institute of Electrical and Electronics Engineers (IEEE) Almomani, Fares Salameh, Tareq Al-Othman, Amani Nassif, Ali Bou Ozsahin, Dilber Uzun 2023-07-20 Conference Proceedings PeerReviewed Hassouna, Mohammed, Al-Antary, Mohammad, 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 <https://doi.org/10.1109/ASET56582.2023.10180645>) https://doi.org/10.1109/ASET56582.2023.10180645 10.1109/ASET56582.2023.10180645 info:eu-repo/semantics/humanStartPage