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2023 Vol.14, Issue 4 Preview Page

General Article

Enhancing diagnosis of breast cancer through mammographic image segmentation using Fuzzy C-Means
Richa Sharma12
,
Amit Kamra3*
1Ph.D., Computer Science Engineering, IKG-Punjab Technical University, Kapurthala, India
2Ph.D., School of Computer Science & Engineering, Lovely Professional University, Phagwara, India
3Ph.D. and Assistant Professor, Department of Information Technology, Guru Nanak Dev Engg. College, Ludhiana, India
*Corresponding Author
30 December 2023. pp. 488-499
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Abstract

Technology advancements have produced several computerized methods for extracting information from images, and in the field of medical sciences processed images transmit information more clearly than any text or words. The prevalence of breast cancer is now widely known worldwide and it is high time to control this severe disease to enhance patient outcomes and lessen the impact of this illness on society. It is crucial to give priority to breast cancer control methods such as early diagnosis and intervention programs. The main factor contributing to the onset of breast cancer in women is the presence of breast lumps in the breast area. The CLAHE methodology, morphological procedures, and the Fuzzy C-means (FCM) clustering algorithm were used for the study to provide a unique method for conducting hybrid segmentation on mammographic pictures. The performance of the recommended approach was evaluated using the MIAS database in terms of a few key parameters, including threshold, accuracy, sensitivity, and specificity. Future studies in this field may find success using the CLAHE, morphological procedures, and FCM clustering method.

Keywords
ClAHE
morphological operations
Fuzzy C-Means
segmentation
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Information
  • Publisher :Sustainable Building Research Center (ERC) Innovative Durable Building and Infrastructure Research Center
  • Publisher(Ko) :건설구조물 내구성혁신 연구센터
  • Journal Title :International Journal of Sustainable Building Technology and Urban Development
  • Volume : 14
  • No :4
  • Pages :488-499
  • Received Date : 2023-10-20
  • Accepted Date : 2023-11-07
  • DOI :https://doi.org/10.22712/susb.20230038
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