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Segmentation of Breast Tumor from Mammographic Images Using Histogram Peak Slicing Threshold

Probal Dutta1 , Kanishka Sarkar2 , Ardhendu Mandal3

Section:Research Paper, Product Type: Journal Paper
Volume-04 , Issue-01 , Page no. 85-92, Feb-2016

Online published on Feb 26, 2016

Copyright © Probal Dutta, Kanishka Sarkar, Ardhendu Mandal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Probal Dutta, Kanishka Sarkar, Ardhendu Mandal, “Segmentation of Breast Tumor from Mammographic Images Using Histogram Peak Slicing Threshold,” International Journal of Computer Sciences and Engineering, Vol.04, Issue.01, pp.85-92, 2016.

MLA Style Citation: Probal Dutta, Kanishka Sarkar, Ardhendu Mandal "Segmentation of Breast Tumor from Mammographic Images Using Histogram Peak Slicing Threshold." International Journal of Computer Sciences and Engineering 04.01 (2016): 85-92.

APA Style Citation: Probal Dutta, Kanishka Sarkar, Ardhendu Mandal, (2016). Segmentation of Breast Tumor from Mammographic Images Using Histogram Peak Slicing Threshold. International Journal of Computer Sciences and Engineering, 04(01), 85-92.

BibTex Style Citation:
@article{Dutta_2016,
author = {Probal Dutta, Kanishka Sarkar, Ardhendu Mandal},
title = {Segmentation of Breast Tumor from Mammographic Images Using Histogram Peak Slicing Threshold},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2016},
volume = {04},
Issue = {01},
month = {2},
year = {2016},
issn = {2347-2693},
pages = {85-92},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=37},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=37
TI - Segmentation of Breast Tumor from Mammographic Images Using Histogram Peak Slicing Threshold
T2 - International Journal of Computer Sciences and Engineering
AU - Probal Dutta, Kanishka Sarkar, Ardhendu Mandal
PY - 2016
DA - 2016/02/26
PB - IJCSE, Indore, INDIA
SP - 85-92
IS - 01
VL - 04
SN - 2347-2693
ER -

           

Abstract

Medical image processing is a huge and challenging research field. Cancer of the breast is the most common among women in world wide. Mammography is a effectivediagnostic and screening tool to detect breast cancer at early stage. Mammograms use doses of ionizing radiation to create images like all X-rays. These images are then analyzed for any abnormal findings. Multiple research studies have been developed to improve cancer detection,diagnosis and evaluation.Over the last decade there has been a marked increased in the use of mammography to detect breast cancer. Various segmentation techniques have been used for detection of breast tumor from mammographic image in last decade. In this paper a method has been proposed based on histogram segmentation to detect the breast cancer from Mammographic images. The whole procedure has been done in MATLAB.

Key-Words / Index Term

Mammogram, Breast Cancer, Histogram Peak Slicing, Histogram Thresholding

References

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