NDLI: Iconographic display of mammographic features for computer-aided diagnosis of breast cancer

Content Provider	IEEE Xplore Digital Library
Author	Rangayyan, R.M. Zuffo, M.K.
Copyright Year	1998
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada (Rangayyan, R.M.)
Abstract	We have recently developed objective methods for characterization of shapes of microcalcifications and tumors in mammograms, and measures of acutance for characterization of the radiographic definition (or edge sharpness) of tumors. The measures and factors quantify subjective descriptors used by radiologists in diagnosis and decision making. While computer extracted features permit computerized pattern recognition and decision making, they may not be readily usable by the radiologist in a computer aided diagnosis system. The objective of the work presented is to improve the diagnostic efficiency of mammography by the use of visualization tools. We propose an iconographic (or iconic) display system based upon graphical icons whose characteristics are related to the computer extracted shape factors and other features of mammographic entities. The icons are presented to the radiologist in the form of an image; the locations and visual characteristics of the icons are associated with corresponding diagnostic entities such as microcalcifications and tumors. The procedure is expected to assist radiologists in interpreting the features in an objective manner, and hence improve diagnostic efficiency.
Starting Page	91
Ending Page	96
File Size	667300
Page Count	6
File Format	PDF
ISBN	0780349733
DOI	10.1109/ITAB.1998.674684
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer displays Computer aided diagnosis Breast cancer Neoplasms Visualization Image processing Shape measurement Pattern recognition Image analysis Information analysis
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

Computer-aided diagnosis of mammographic images

DeepCAD: A Computer-Aided Diagnosis System for Mammographic Masses Using Deep Invariant Features

Microcalcification detection based on localized texture comparison

Breast cancer image assessment using an adaptative network-based fuzzy inference system

Visualization methods for neural networks

Fast Detection of Mammographic Masses with Difficult Case Exclusion

Shape analysis of mammographic calcifications

Digital Mammographic Computer Aided Diagnosis (CAD) using Adaptive Level Set Segmentation

Computer-aided diagnosis of mammographic masses using vocabulary tree-based image retrieval

Iconographic display of mammographic features for computer-aided diagnosis of breast cancer

Similar Documents

Computer-aided diagnosis of mammographic images

DeepCAD: A Computer-Aided Diagnosis System for Mammographic Masses Using Deep Invariant Features

Microcalcification detection based on localized texture comparison

Breast cancer image assessment using an adaptative network-based fuzzy inference system

Visualization methods for neural networks

Fast Detection of Mammographic Masses with Difficult Case Exclusion

Shape analysis of mammographic calcifications

Digital Mammographic Computer Aided Diagnosis (CAD) using Adaptive Level Set Segmentation

Computer-aided diagnosis of mammographic masses using vocabulary tree-based image retrieval

Iconographic display of mammographic features for computer-aided diagnosis of breast cancer