Multi-scoring feature selection method based on SVM-RFE for prostate cancer diagnosis

Dheeb Albashish, Shahnorbanun Sahran, Azizi Abdullah, Afzan Adam, Nordashima Abd Shukor, Suria Hayati Md Pauzi

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

2 Citations (Scopus)

Abstract

Prostate cancer diagnosis is based mainly by microscopic evaluation of prostate tissue biopsy which includes assigning cancer grading. The latter is crucial in evaluating the prognosis or cancer progression and treatment. The common grading system used is Gleason grading system that classifies the prostate cancer into five basic grades based on the architecture and pattern of glandular proliferation. However, this process may be subjected to inter and intra observer variation. Therefore, the main aim of this paper is to develop a computer aided diagnosis (CAD) utilizing supervised machine learning techniques for Gleason grading of prostate histology. The proposed procedure utilizes the main tissue components of the images in an ensemble style to correctly classify the input histopathological image into benign or malignant. Moreover, the texture features of the benign and malignant images can be used to build the proposed ensemble framework. However, not all extracted texture features contribute to the improvement of the classification performance of the proposed ensemble framework. Therefore, to select the more informative features from a set is a critical issue. In this study, a new multi-scoring features selection method based on SVM-RFE and conditional mutual information (CMI) is proposed.

Original languageEnglish
Title of host publicationProceedings - 5th International Conference on Electrical Engineering and Informatics: Bridging the Knowledge between Academic, Industry, and Community, ICEEI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages682-686
Number of pages5
ISBN (Print)9781467373197
DOIs
Publication statusPublished - 10 Dec 2015
Event5th International Conference on Electrical Engineering and Informatics, ICEEI 2015 - Legian-Bali, Indonesia
Duration: 10 Aug 201511 Aug 2015

Other

Other5th International Conference on Electrical Engineering and Informatics, ICEEI 2015
CountryIndonesia
CityLegian-Bali
Period10/8/1511/8/15

Fingerprint

Feature extraction
Textures
Tissue
Computer aided diagnosis
Histology
Biopsy
Learning systems

Keywords

  • CMI
  • Ensemble classification
  • Feature selection
  • Prostate cancer
  • SVM
  • SVM-RFE
  • Tissue components

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Albashish, D., Sahran, S., Abdullah, A., Adam, A., Shukor, N. A., & Md Pauzi, S. H. (2015). Multi-scoring feature selection method based on SVM-RFE for prostate cancer diagnosis. In Proceedings - 5th International Conference on Electrical Engineering and Informatics: Bridging the Knowledge between Academic, Industry, and Community, ICEEI 2015 (pp. 682-686). [7352585] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEI.2015.7352585

Multi-scoring feature selection method based on SVM-RFE for prostate cancer diagnosis. / Albashish, Dheeb; Sahran, Shahnorbanun; Abdullah, Azizi; Adam, Afzan; Shukor, Nordashima Abd; Md Pauzi, Suria Hayati.

Proceedings - 5th International Conference on Electrical Engineering and Informatics: Bridging the Knowledge between Academic, Industry, and Community, ICEEI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 682-686 7352585.

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

Albashish, D, Sahran, S, Abdullah, A, Adam, A, Shukor, NA & Md Pauzi, SH 2015, Multi-scoring feature selection method based on SVM-RFE for prostate cancer diagnosis. in Proceedings - 5th International Conference on Electrical Engineering and Informatics: Bridging the Knowledge between Academic, Industry, and Community, ICEEI 2015., 7352585, Institute of Electrical and Electronics Engineers Inc., pp. 682-686, 5th International Conference on Electrical Engineering and Informatics, ICEEI 2015, Legian-Bali, Indonesia, 10/8/15. https://doi.org/10.1109/ICEEI.2015.7352585
Albashish D, Sahran S, Abdullah A, Adam A, Shukor NA, Md Pauzi SH. Multi-scoring feature selection method based on SVM-RFE for prostate cancer diagnosis. In Proceedings - 5th International Conference on Electrical Engineering and Informatics: Bridging the Knowledge between Academic, Industry, and Community, ICEEI 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 682-686. 7352585 https://doi.org/10.1109/ICEEI.2015.7352585
Albashish, Dheeb ; Sahran, Shahnorbanun ; Abdullah, Azizi ; Adam, Afzan ; Shukor, Nordashima Abd ; Md Pauzi, Suria Hayati. / Multi-scoring feature selection method based on SVM-RFE for prostate cancer diagnosis. Proceedings - 5th International Conference on Electrical Engineering and Informatics: Bridging the Knowledge between Academic, Industry, and Community, ICEEI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 682-686
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