A BI-RADS based expert systems for the diagnoses of breast diseases

Umi Kalthum Ngah; Shalihatun Azlin Aziz; Mohd Ezane Aziz; Mazeda Murad; Nik Munirah Nik Mahdi; Ali Yeon Mat Shakaff; Nor Ashidi Mat Isa; Mohd Yusoff Mashor; Mohd Rizal Arshad

doi:10.3844/ajassp.2007.865.873

A BI-RADS based expert systems for the diagnoses of breast diseases

Umi Kalthum Ngah^*, Shalihatun Azlin Aziz, Mohd Ezane Aziz, Mazeda Murad, Nik Munirah Nik Mahdi, Ali Yeon Mat Shakaff, Nor Ashidi Mat Isa, Mohd Yusoff Mashor, Mohd Rizal Arshad

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

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.

Original language	English
Pages (from-to)	867-875
Number of pages	9
Journal	American Journal of Applied Sciences
Volume	4
Issue number	11
DOIs	https://doi.org/10.3844/ajassp.2007.865.873
Publication status	Published - 2007
Externally published	Yes

Keywords

Breast cancer
Expert systems
Knowledge-based systems
Mammograph
Ultrasound

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3844/ajassp.2007.865.873

Cite this

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title = "A BI-RADS based expert systems for the diagnoses of breast diseases",

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.",

keywords = "Breast cancer, Expert systems, Knowledge-based systems, Mammograph, Ultrasound",

author = "Ngah, {Umi Kalthum} and Aziz, {Shalihatun Azlin} and Aziz, {Mohd Ezane} and Mazeda Murad and Mahdi, {Nik Munirah Nik} and Shakaff, {Ali Yeon Mat} and Isa, {Nor Ashidi Mat} and Mashor, {Mohd Yusoff} and Arshad, {Mohd Rizal}",

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AU - Ngah, Umi Kalthum

AU - Aziz, Shalihatun Azlin

AU - Aziz, Mohd Ezane

AU - Murad, Mazeda

AU - Mahdi, Nik Munirah Nik

AU - Shakaff, Ali Yeon Mat

AU - Isa, Nor Ashidi Mat

AU - Mashor, Mohd Yusoff

AU - Arshad, Mohd Rizal

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Breast cancer

KW - Expert systems

KW - Knowledge-based systems

KW - Mammograph

KW - Ultrasound

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ER -

A BI-RADS based expert systems for the diagnoses of breast diseases

Abstract

Keywords

UN SDGs

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