Utility of color information for segmentation of digital retinal images: neural-network-based approach

Paul W. Truitt; Peter Soliz; Denise Farnath M.D.; Sheila Coyne Nemeth

doi:10.1117/12.310879

24 June 1998 Utility of color information for segmentation of digital retinal images: neural-network-based approach

Paul W. Truitt, Peter Soliz, Denise Farnath M.D., Sheila Coyne Nemeth

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310879
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

The goal of this study was to determine the utility of red, green and blue color information in segmenting fundus images for two general categories of retinal tissue: anatomically normal and pathological. The pathologies investigated were microaneurysms and dot blot hemorrhages.

Citation Download Citation

Paul W. Truitt, Peter Soliz, Denise Farnath M.D., and Sheila Coyne Nemeth "Utility of color information for segmentation of digital retinal images: neural-network-based approach", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310879

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available