Medical image analysis using deep learning: a review

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	4296/77180
Uncontrolled Keywords:	Deep learning, medical image, medical image analysis
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > R Medicine (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Amelia Ritahani Ismail
Date Deposited:	03 Feb 2020 10:46
Last Modified:	09 Jul 2020 12:23
URI:	http://irep.iium.edu.my/id/eprint/77180

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