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dc.contributor.authorUmi Kalthum, Ngah-
dc.contributor.authorShalihatun Azlin, Aziz-
dc.contributor.authorMohd Ezane, Aziz-
dc.contributor.authorMazeda, Murad-
dc.contributor.authorNik Munirah, Nik Mahdi-
dc.contributor.authorAli Yeon, Md Shakaff-
dc.contributor.authorNor Ashidi, Mat Isa-
dc.contributor.authorMohd Yusoff, Mashor-
dc.contributor.authorMohd. Rizal, Arshad-
dc.date.accessioned2009-07-28T08:19:06Z-
dc.date.available2009-07-28T08:19:06Z-
dc.date.issued2007-
dc.identifier.citationAmerican Journal of Applied Sciences, vol.4 (11), 2007, pages 867-875en_US
dc.identifier.issn1546-9239 (Print)-
dc.identifier.issn1554-3641 (Online)-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/6607-
dc.identifier.urihttp://scipub.org/scipub/detail_issue.php?V_No=193&j_id=ajas-
dc.descriptionLink to publisher's homepage at http://scipub.org/scipub/index.phpen_US
dc.description.abstractWe 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.en_US
dc.language.isoenen_US
dc.publisherScience Publicationsen_US
dc.subjectBreast canceren_US
dc.subjectExpert systemsen_US
dc.subjectKnowledge-based systemsen_US
dc.subjectMammographen_US
dc.subjectUltrasounden_US
dc.titleA BI-RADS based expert systems for the diagnoses of breast diseasesen_US
dc.typeArticleen_US
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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