Type 2 Fuzzy Logic for mammogram breast tissue classification

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

BIRADS, Breast Imaging, Reporting and Data System, is a standard for preparing mammogram reports and it reduces confusion during mammogram image evaluation. In some cases, classifying BIRADS is a quite challenging task to the radiologist due to inter or intra personal variability. Therefore, this paper is aimed to develop a BIRADS classification model based on Type-2 Fuzzy Logic using mammogram data reports. The study begins with data aggregation comprising more than 100 images and their reports from Radiology Department of The National University of Malaysia Medical Center. Then, we select only complete data instances comprising calcification, masses and distortion as inputs and its expert decision as its target output. Next, Type-2 Fuzzy Logic based on Mamdani model produces membership linguistic variables automatically using those three inputs and an output. In advance, we also infer expert rules according to their experience for defuzzification phase. Lastly, the model was tested on three membership functions namely Gaussian, Trapezoidal and Triangular. The study shows that Triangular membership function based on expert driven rules outperform Gaussian and Trapezoid functions.

Original languageEnglish
Title of host publication2016 International Conference on Industrial Informatics and Computer Systems, CIICS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781467387439
DOIs
Publication statusPublished - 28 Apr 2016
EventInternational Conference on Industrial Informatics and Computer Systems, CIICS 2016 - Sharjah, Dubai, United Arab Emirates
Duration: 13 Mar 201615 Mar 2016

Other

OtherInternational Conference on Industrial Informatics and Computer Systems, CIICS 2016
CountryUnited Arab Emirates
CitySharjah, Dubai
Period13/3/1615/3/16

Fingerprint

Fuzzy logic
Membership functions
Tissue
Radiology
Linguistics
Agglomeration
Imaging techniques

Keywords

  • Breast Cancer
  • fuzzy logic
  • Mammogram

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Baharuddin, W. N. A., Sheikh Abdullah, S. N. H., Sahran, S., Qasem, A., Abdullah, A., Iqbal Hussain, R., & Ismail, F. (2016). Type 2 Fuzzy Logic for mammogram breast tissue classification. In 2016 International Conference on Industrial Informatics and Computer Systems, CIICS 2016 [7462439] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSII.2016.7462439

Type 2 Fuzzy Logic for mammogram breast tissue classification. / Baharuddin, Wan Noor Aziezan; Sheikh Abdullah, Siti Norul Huda; Sahran, Shahnorbanun; Qasem, Ashwaq; Abdullah, Azizi; Iqbal Hussain, Rizuana; Ismail, Fuad.

2016 International Conference on Industrial Informatics and Computer Systems, CIICS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7462439.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Baharuddin, WNA, Sheikh Abdullah, SNH, Sahran, S, Qasem, A, Abdullah, A, Iqbal Hussain, R & Ismail, F 2016, Type 2 Fuzzy Logic for mammogram breast tissue classification. in 2016 International Conference on Industrial Informatics and Computer Systems, CIICS 2016., 7462439, Institute of Electrical and Electronics Engineers Inc., International Conference on Industrial Informatics and Computer Systems, CIICS 2016, Sharjah, Dubai, United Arab Emirates, 13/3/16. https://doi.org/10.1109/ICCSII.2016.7462439
Baharuddin WNA, Sheikh Abdullah SNH, Sahran S, Qasem A, Abdullah A, Iqbal Hussain R et al. Type 2 Fuzzy Logic for mammogram breast tissue classification. In 2016 International Conference on Industrial Informatics and Computer Systems, CIICS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7462439 https://doi.org/10.1109/ICCSII.2016.7462439
Baharuddin, Wan Noor Aziezan ; Sheikh Abdullah, Siti Norul Huda ; Sahran, Shahnorbanun ; Qasem, Ashwaq ; Abdullah, Azizi ; Iqbal Hussain, Rizuana ; Ismail, Fuad. / Type 2 Fuzzy Logic for mammogram breast tissue classification. 2016 International Conference on Industrial Informatics and Computer Systems, CIICS 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
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