NDLI: An interactive system for computer-aided retinal image analysis

Content Provider	IEEE Xplore Digital Library
Author	Donohoe, G.W. Nemeth, S. Soliz, P.
Copyright Year	1999
Description	Author affiliation: Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA (Donohoe, G.W.)
Abstract	This paper presents a interactive system for analyzing images of the ocular fundus to defect and quantify lesions associated with retinal diseases such as age-related maculopathy and diabetic retinopathy. Using inexpensive Windows/sup TM/ technology, the system combines low-level pattern recognition with a graphical user interface to facilitate interactive segmentation and labelling of fundus images, and calculate and report the location, size and shape of each lesion. The user always has the option to override the program's decisions in order ensure a correct analysis. The system was tested in two small pilot studies, one for analyzing drusen in age-related maculopathy patients, and the other to measure neovascularization associated with diabetic retinopathy.
Starting Page	184
Ending Page	189
File Size	1199818
Page Count	6
File Format	PDF
ISBN	0769502342
ISSN	10637125
DOI	10.1109/CBMS.1999.781268
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-06-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interactive systems Retina Image analysis Lesions Diabetes Retinopathy Diseases Pattern recognition Graphical user interfaces Image segmentation
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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

A JAVA-based system for segmentation and analysis of retinal images

Constrained-MSER detection of retinal pathology

An image analysis framework for the early assessment of hypertensive retinopathy signs

Computer-aided diagnosis of proliferative diabetic retinopathy

An effective approach to detect lesions in color retinal images

Evaluation of retinal vessel segmentation methods for microaneurysms detection

A general framework for detecting diabetic retinopathy lesions in eye fundus images

Semi-Automatic Segmentation and Volume Determination of Brain Mass-Like Lesion

An interactive tool for segmentation, visualization, and navigation of magnetic resonance images

An interactive system for computer-aided retinal image analysis

Similar Documents

A JAVA-based system for segmentation and analysis of retinal images

Constrained-MSER detection of retinal pathology

An image analysis framework for the early assessment of hypertensive retinopathy signs

Computer-aided diagnosis of proliferative diabetic retinopathy

An effective approach to detect lesions in color retinal images

Evaluation of retinal vessel segmentation methods for microaneurysms detection

A general framework for detecting diabetic retinopathy lesions in eye fundus images

Semi-Automatic Segmentation and Volume Determination of Brain Mass-Like Lesion

An interactive tool for segmentation, visualization, and navigation of magnetic resonance images

An interactive system for computer-aided retinal image analysis