NDLI: Computer-aided mammography classification of malignant mass regions and normal regions based on novel texton features

Content Provider	IEEE Xplore Digital Library
Author	Xi-Zhao Li Williams, S. Lee, G. Min Deng
Copyright Year	2012
Description	Author affiliation: School Of Computer Science, Engineering And Mathematics, Flinders University, Bedford Park 5042, SA, Australia (Xi-Zhao Li; Williams, S.; Lee, G.) \|\| School of Electronic and Information Engineering, South China University of Technology 510604, Guangzhou, China (Min Deng)
Abstract	In this paper, new computer aided techniques for classifying malignant and normal mass regions with the novel texton features were proposed. Generally, the whole classifier consists of two stages: training and testing. In the first stage, all training images from the whole breasts were filtered by one of the maximum response filter banks (38 filters together but choose only the maximum 8 filter responses from each direction). Then mass regions were segmented automatically from those filtered images and aggregated together as the input of K-means clustering. This resulted in the generation of the final texton dictionary. Then, each region of interest (ROI) was modeled into the texton distributions. Similarly, in the second stage, all the novel testing images are represented by texton histograms of their own ROIs. In the end, Fisher Classifier was used for the classification and Receive Operation Characteristic (ROC) Curve was applied to show the performance (in the form of Az scores). Additionally, intensity independent texture analysis proposed in our previous research was used to normalize original images before the filter bank application. Performance turned out to be promising for the future research.
Starting Page	1431
Ending Page	1436
File Size	427744
Page Count	6
File Format	PDF
ISBN	9781467318716
e-ISBN	9781467318723
e-ISBN	9781467318709
DOI	10.1109/ICARCV.2012.6485399
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cancer Training Dictionaries Testing Breast Feature extraction Databases ROC curve malignant normal mammography classification texton filter bank Fisher Classifier
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