mirage

Automated breast masses segmentation in digitized mammograms

DSpace/Manakin Repository

 

Search DR-NTU


Advanced Search Subject Search

Browse

My Account

Automated breast masses segmentation in digitized mammograms

Show full item record

Title: Automated breast masses segmentation in digitized mammograms
Author: Zhang, Han; Foo, Say Wei; Krishnan, Shankar M.; Thng, Choon Hua
Copyright year: 2004
Abstract: In this paper, an automated segmentation method is proposed. The method is applied to the segmentation of breast masses in digitized mammograms and it operates on the whole mammograms instead of manually selected regions. Pixels with local maximum gray levels are flagged as seeds, from which many candidate objects are grown using modified region-growing technique. Following which False Positive (FP) reduction using decision tree is applied to discard the normal tissue regions. A total of 40 mammograms from Mammographic Image Analysis Society (MIAS) are analyzed. 36 masses are correctly segmented by the proposed method, resulting in 90% True Positive Rate at 1.3 FPs per image.
Type: Conference Paper
Conference name: IEEE International Workshop on BioMedical Circuits & Systems (2004 : Singapore)
School: School of Electrical and Electronic Engineering
Rights: © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site.
Version: Published version

Files in this item

Files Size Format View Description
C88-1040-BioCas2004ZH.pdf 861.7Kb PDF View/Open Published version
   

DOI Query

- Get published version (via Digital Object Identifier)
   

This item appears in the following Collection(s)

Show full item record

Statistics

Total views

All Items Views
Automated breast masses segmentation in digitized mammograms 572

Total downloads

All Bitstreams Views
C88-1040-BioCas2004ZH.pdf 230

Top country downloads

Country Code Views
United States of America 94
China 41
Singapore 31
Japan 12
India 11

Top city downloads

city Views
Mountain View 72
Singapore 31
Beijing 25
Chengdu 5
Milford 4

Downloads / month

  2014-09 2014-10 2014-11 total
C88-1040-BioCas2004ZH.pdf 0 0 7 7