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Proceedings Paper

Region-growing approach to detect microcalcifications in digital mammograms
Author(s): Jin-Wook Shin; Soo-Ik Chae; Yoon Mr. Sook; Dong-Sun Park
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Paper Abstract

Detecting early symptoms of breast cancer is very important to enhance the possibility of cure. There have been active researches to develop computer-aided diagnosis(CAD) systems detecting early symptoms of breast cancer in digital mammograms. An expert or a CAD system can recognize the early symptoms based on microcalcifications appeared in digital mammographic images. Microcalcifications have higher gray value than surrounding regions, so these can be detected by expanding a region from a local maximum. However the resultant image contains unnecessary elements such as noise, holes and valleys. Mathematical morphology is a good solution to delete regions that are affected by the unnecessary elements. In this paper, we present a method that effectively detects microcalcifications in digital mammograms using a combination of local maximum operation and the region-growing operation.

Paper Details

Date Published: 18 September 2001
PDF: 5 pages
Proc. SPIE 4549, Medical Image Acquisition and Processing, (18 September 2001); doi: 10.1117/12.440255
Show Author Affiliations
Jin-Wook Shin, Chonbuk National Univ. (South Korea)
Soo-Ik Chae, Chonbuk National Univ. (United States)
Yoon Mr. Sook, Chonbuk National Univ. (South Korea)
Dong-Sun Park, Chonbuk National Univ. (South Korea)

Published in SPIE Proceedings Vol. 4549:
Medical Image Acquisition and Processing
Jayaram K. Udupa; Aaron Fenster, Editor(s)

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