Mass classification in mammograms using neural network

Effa Adrina Azli, Aqilah Baseri Huddin, Mohd Faisal Ibrahim, Salina Abdul Samad

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

1 Citation (Scopus)

Abstract

Breast cancer is one of the main causes of death in women. An early detection is important to increase the survival rate. One of the common modality used for an early detection is mammogram. However, manual reading by the radiologists may affect the accuracy of the diagnosis. Hence, a Computer-Aided Diagnosis (CAD) system is developed as an aid to minimize the false alarm rate and to improve the diagnosis accuracy. The processes in a CAD system include pre-processing, segmentation, features extraction and classification. This paper investigates the classification of mass in mammograms using different sets of features with a back-propagation neural network as a classifier. The experimental results show that the performance of the classifier in terms of accuracy is higher with more hidden nodes in the neural network and more input features are fed to the classifier.

Original languageEnglish
Title of host publicationProceedings of the 2017 6th International Conference on Electrical Engineering and Informatics
Subtitle of host publicationSustainable Society Through Digital Innovation, ICEEI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
Volume2017-November
ISBN (Electronic)9781538604755
DOIs
Publication statusPublished - 9 Mar 2018
Event6th International Conference on Electrical Engineering and Informatics, ICEEI 2017 - Langkawi, Malaysia
Duration: 25 Nov 201727 Nov 2017

Other

Other6th International Conference on Electrical Engineering and Informatics, ICEEI 2017
CountryMalaysia
CityLangkawi
Period25/11/1727/11/17

Fingerprint

Mammogram
Classifiers
Classifier
Neural Networks
Neural networks
Computer aided diagnosis
Computer-aided Diagnosis
False Alarm Rate
Back-propagation Neural Network
Backpropagation
Breast Cancer
Modality
Feature Extraction
Preprocessing
Feature extraction
Reading
Cause of Death
Survival Rate
Segmentation
Breast Neoplasms

Keywords

  • breast cancer
  • CAD
  • mammography
  • neural network

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Software
  • Electrical and Electronic Engineering
  • Health Informatics

Cite this

Azli, E. A., Huddin, A. B., Ibrahim, M. F., & Abdul Samad, S. (2018). Mass classification in mammograms using neural network. In Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017 (Vol. 2017-November, pp. 1-5). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEI.2017.8312385

Mass classification in mammograms using neural network. / Azli, Effa Adrina; Huddin, Aqilah Baseri; Ibrahim, Mohd Faisal; Abdul Samad, Salina.

Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-5.

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

Azli, EA, Huddin, AB, Ibrahim, MF & Abdul Samad, S 2018, Mass classification in mammograms using neural network. in Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 6th International Conference on Electrical Engineering and Informatics, ICEEI 2017, Langkawi, Malaysia, 25/11/17. https://doi.org/10.1109/ICEEI.2017.8312385
Azli EA, Huddin AB, Ibrahim MF, Abdul Samad S. Mass classification in mammograms using neural network. In Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-5 https://doi.org/10.1109/ICEEI.2017.8312385
Azli, Effa Adrina ; Huddin, Aqilah Baseri ; Ibrahim, Mohd Faisal ; Abdul Samad, Salina. / Mass classification in mammograms using neural network. Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-5
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