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Breast Cancer Detection Using Image Processing Techniques
VIT Vellore,School Of Electrical Engineering (SELECT),Vellore,India.
VIT Vellore,School Of Electrical Engineering (SELECT),Vellore,India.
University West, Department of Engineering Science, Division of Production Systems. (PTW)
VIT Vellore,School Of Electrical Engineering (SELECT),Vellore,India.
2019 (English)In: 2019 Innovations in Power and Advanced Computing Technologies (i-PACT), Institute of Electrical and Electronics Engineers Inc. , 2019, Vol. 1Conference paper, Published paper (Refereed)
Abstract [en]

Cancer is the uncontrolled multiplication of group of cells in a particular location of the body and is the second largest disease leading to the death of women in the world. The disease can be cured if it is detected in early stages. A lot of research has been done to find out the tumor correctly but a 100% accurate method has not been found. Research on breast cancer detection using digital image processing is not new but many new approaches in this field is being considered to accurately predict the tumor region. The present approach is to detect the tumor region visually as well as to figure out in which region the tumor is mostly concentrated. This work majorly focuses on finding out the best algorithm/s to detect the tumor present in the breast. In the proposed work, a variety of algorithms has been applied but the best one suited for cancer detection is the combination of K Means, Closing, Dilation and Canny Edge Detection algorithm. © 2019 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. Vol. 1
Keywords [en]
Diseases; Edge detection; Image processing; K-means clustering; Tumors, Breast Cancer; Breast cancer detection; Cancer detection; Canny edge detection; Closing; Dilation; Image processing technique; K-means, Medical imaging
National Category
Signal Processing
Research subject
Production Technology; ENGINEERING, Manufacturing and materials engineering
Identifiers
URN: urn:nbn:se:hv:diva-14994DOI: 10.1109/i-PACT44901.2019.8960233Scopus ID: 2-s2.0-85078980969OAI: oai:DiVA.org:hv-14994DiVA, id: diva2:1395627
Conference
Conference of 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019 ; Conference Date: 22 March 2019 Through 23 March 2019
Available from: 2020-02-24 Created: 2020-02-24 Last updated: 2020-03-10Bibliographically approved

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Ramasamy, Sudha

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