Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/6607
Title: A BI-RADS based expert systems for the diagnoses of breast diseases
Authors: Umi Kalthum, Ngah
Shalihatun Azlin, Aziz
Mohd Ezane, Aziz
Mazeda, Murad
Nik Munirah, Nik Mahdi
Ali Yeon, Md Shakaff
Nor Ashidi, Mat Isa
Mohd Yusoff, Mashor
Mohd. Rizal, Arshad
Keywords: Breast cancer
Expert systems
Knowledge-based systems
Mammograph
Ultrasound
Issue Date: 2007
Publisher: Science Publications
Citation: American Journal of Applied Sciences, vol.4 (11), 2007, pages 867-875
Abstract: We proposed an expert system based on the interpretation of mammographic and ultrasound images that may be used by expert and non-expert doctors in the interpretation and classifying of patient cases. The expert system software consists of a mammographic(MAMMEX) and breast ultrasound(SOUNDEX) medical expert systems which may be used to deduce cases according to the Breast Imaging Recording and Data System (BI-RADS) based upon patients' history, physical and clinical assessment as well as mammograms and breast ultrasound images. The systems were tested on a total of 179 retrospective cases from the Radiology Department, Hospital Universiti Sains Malaysia (HUSM), Kubang Kerian, Kelantan. The accuracy, sensitivity and specificity of MAMMEX were 97%, 96% and 92% and values of 99%, 98% and 100% were found for SOUNDEX respectively. © 2007 Science Publications.
Description: Link to publisher's homepage at http://scipub.org/scipub/index.php
URI: http://dspace.unimap.edu.my/123456789/6607
http://scipub.org/scipub/detail_issue.php?V_No=193&j_id=ajas
ISSN: 1546-9239 (Print)
1554-3641 (Online)
Appears in Collections:School of Computer and Communication Engineering (Articles)
Ali Yeon Md Shakaff, Dato' Prof. Dr.
Mohd Yusoff Mashor, Prof. Dr.
School of Mechatronic Engineering (Articles)

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