NDLI: A new definition of fuzzy contours in mammographic images

Content Provider	IEEE Xplore Digital Library
Author	Hmida, M. Hamrouni, K. Solaiman, B.
Copyright Year	2015
Description	Author affiliation: Ecole Nat. d'Ing. de Tunis, Univ. de Tunis El Manar, Tunis, Tunisia (Hmida, M.; Hamrouni, K.) \|\| Inst. Telecom, Univ. Eur. de Bretagne, Brest, France (Solaiman, B.)
Abstract	In this paper, we give a new definition of fuzzy contours in mammographic images and we propose an approach to get them. This approach starts from region of interest images with initial contours delimiting masses provided by an expert radiologist, and then it involves three major stages: mass segmentation using geometric deformable models, contour representation and finally definition of fuzzy contours. For the first phase, the initial zero level set is performed by using the initial contour guided by the radiologist. After that, we propose a new representation of contours. Since the segmentation of masses in mammograms is a difficult problem due to the characteristics of mammographic image, and even mass edges can be identified differently by different radiologists and also by the same radiologist at a different time, we define an entire region that may contain the accurate edges, in which we assign to each pixel a membership value to the class "Contour". We call that fuzzy contours.
Starting Page	169
Ending Page	173
File Size	757632
Page Count	5
File Format	PDF
ISBN	9781479986361
ISSN	2154512X
e-ISBN	9781479986378
DOI	10.1109/IPTA.2015.7367120
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-10
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Deformable models Mass Image segmentation Image edge detection Level set Segmentation Contour representation Geometric deformable models Mammography Yttrium Fuzyy contours
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Color Image Segmentation Based on a New Geometric Active Contour Model

Performance comparison of active contour level set methods in image segmentation

Medical Image Segmentation Using Active Contours and a Level Set Model: Application to Pulmonary Embolism (PE) Segmentation

A level set model without initial contour

Multiregion level-set segmentation of synthetic aperture radar images

Local weak form geometric active contours for medical image segmentation

An Improved Geometric Deformable Model for Color Image Segmentation

Fuzzy External Force for Snake

Skull Stripping Using Geodesic Active Contours in Magnetic Resonance Images

A new definition of fuzzy contours in mammographic images

Similar Documents

Color Image Segmentation Based on a New Geometric Active Contour Model

Performance comparison of active contour level set methods in image segmentation

Medical Image Segmentation Using Active Contours and a Level Set Model: Application to Pulmonary Embolism (PE) Segmentation

A level set model without initial contour

Multiregion level-set segmentation of synthetic aperture radar images

Local weak form geometric active contours for medical image segmentation

An Improved Geometric Deformable Model for Color Image Segmentation

Fuzzy External Force for Snake

Skull Stripping Using Geodesic Active Contours in Magnetic Resonance Images

A new definition of fuzzy contours in mammographic images