UTHM Institutional Repository

Content-based image retrieval in medical domain: a review

Mohd Zin, Nor Asma and Yusof, Rozianiwati and Lashari, Saima Anwar and Mustapha, Aida and Senan, Norhalina and Ibrahim, Rosziati (2017) Content-based image retrieval in medical domain: a review. In: 1st International Conference on Green and Sustainable Computing (ICoGeS) 2017, 25–27 November 2017, Kuching, Sarawak, Malaysia.

[img] PDF

Download (794kB)


Content-based Image Retrieval (CBIR) aids radiologist to identify similar medical images in recalling previous cases during diagnosis. Although several algorithms have been introduced to extract the content of the medical images, the process is still a challenge due to the nature of the feature itself where most of them are extracted in low level form. In addition to the dimensionality reduction problem caused by the low-level features, current features are also insufficient to convey the semantic meaning of the images. This paper reviews the recent works in CBIR that attempts to reduce the semantic gap in extracting the features from medical images, precisely for mammogram images. Approaches such as the use of relevance feedback, ontology as well as machine learning algorithms are summarized and discussed.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 29 Aug 2019 03:46
Last Modified: 29 Aug 2019 03:46
URI: http://eprints.uthm.edu.my/id/eprint/11510
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item


Downloads per month over past year