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Approach for Segmentation of Micro-calcification in Mammographic Images

Pooja Chaudhari1 , P. B. Bhalerao2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-7 , Page no. 28-32, Jul-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i7.2832

Online published on Jul 31, 2019

Copyright © Pooja Chaudhari, P. B. Bhalerao . 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: Pooja Chaudhari, P. B. Bhalerao, “Approach for Segmentation of Micro-calcification in Mammographic Images,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.7, pp.28-32, 2019.

MLA Style Citation: Pooja Chaudhari, P. B. Bhalerao "Approach for Segmentation of Micro-calcification in Mammographic Images." International Journal of Computer Sciences and Engineering 7.7 (2019): 28-32.

APA Style Citation: Pooja Chaudhari, P. B. Bhalerao, (2019). Approach for Segmentation of Micro-calcification in Mammographic Images. International Journal of Computer Sciences and Engineering, 7(7), 28-32.

BibTex Style Citation:
@article{Chaudhari_2019,
author = {Pooja Chaudhari, P. B. Bhalerao},
title = {Approach for Segmentation of Micro-calcification in Mammographic Images},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2019},
volume = {7},
Issue = {7},
month = {7},
year = {2019},
issn = {2347-2693},
pages = {28-32},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4715},
doi = {https://doi.org/10.26438/ijcse/v7i7.2832}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i7.2832}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4715
TI - Approach for Segmentation of Micro-calcification in Mammographic Images
T2 - International Journal of Computer Sciences and Engineering
AU - Pooja Chaudhari, P. B. Bhalerao
PY - 2019
DA - 2019/07/31
PB - IJCSE, Indore, INDIA
SP - 28-32
IS - 7
VL - 7
SN - 2347-2693
ER -

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Abstract

Ductal Carcinoma (Breast Cancer) is still the most common type of cancer throughout the world and a frequent cause of cancer death among women. Mammography is the most effective and reliable method for accurate detection of breast cancer in recent years. Micro-calcification (MC) is the tiny specks of calcium which appears in the form of clusters in breast tissue. So the detection of MC cluster in breast tissue plays an important role in enhancing the breast cancer diagnosis. In this report, a knowledge-based approach for the automatic detection and segmentation of micro-calcifications in mammographic images is presented. Segmentation is done by using Adaptive Histogram Equalization (AHE) and by calculating range block and domain block of the image. To validate the efficacy of the suggested scheme, simulation has been carried out using Mammography Image Analysis Society (MIAS) database.

Key-Words / Index Term

Adaptive Histogram Equalization (AHE), Mammography Image Analysis Society (MIAS), Micro-calcification (MC), Region of interest (ROI)

References

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