Image-Processing Techniques Used In The Computer-Aided Detection Of Radiographic Lesions In Anatomic Background

Maryellen L. Giger; Kunio Doi; Heber MacMahon; Fang-Fang Yin

doi:10.1117/12.968691

27 June 1988 Image-Processing Techniques Used In The Computer-Aided Detection Of Radiographic Lesions In Anatomic Background

Maryellen L. Giger, Kunio Doi, Heber MacMahon, Fang-Fang Yin

Author Affiliations +

Proceedings Volume 0914, Medical Imaging II; (1988) https://doi.org/10.1117/12.968691
Event: Medical Imaging II, 1988, Newport Beach, CA, United States

Abstract

We are develo1pipg feature-extraction techniques for use in the computer-aided detection of pulmonary nodules in digital chest images. Use of such a computer-aided detection scheme, which would alert radiologists to the locations of suspected lung nodules, is expected to reduce the number of false-negative dieggoses. False-negative diagnoses (i.e., misses) are a current problem in chest radiology with "miss-rates" as high as 30%. This may be due to the camouflaging effect of surrounding anatomic background on the nodule, or to the subjective and varying decision criteria used by radiologists.

Citation Download Citation

Maryellen L. Giger, Kunio Doi, Heber MacMahon, and Fang-Fang Yin "Image-Processing Techniques Used In The Computer-Aided Detection Of Radiographic Lesions In Anatomic Background", Proc. SPIE 0914, Medical Imaging II, (27 June 1988); https://doi.org/10.1117/12.968691

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