S-MODALS neural network query of medical and forensic imagery databases

Timothy G. Rainey; Dean W. Brettle; Andrew Lavin; Fred Weingard; Claudia I. Henschke; David Yankelevitz; Ioan Mateescu; Lee A. Uvanni; Robert W. Sibert; Eric Birnbaum

doi:10.1117/12.200806

31 January 1995 S-MODALS neural network query of medical and forensic imagery databases

Timothy G. Rainey, Dean W. Brettle, Andrew Lavin, Fred Weingard, Claudia I. Henschke, David Yankelevitz, Ioan Mateescu, Lee A. Uvanni, Robert W. Sibert, Eric Birnbaum

Author Affiliations +

Proceedings Volume 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities; (1995) https://doi.org/10.1117/12.200806
Event: 23 Annual AIPR Workshop: Image and Information Systems: Applications and Opportunities, 1994, Washington, DC, United States

Abstract

A dual-use neural network technology, called the statistical-multiple object detection and location system (S-MODALS), has been developed by Booz(DOT)Allen & Hamilton, Inc. over a five year period, funded by various U.S. Air Force organizations for automatic target recognition (ATR). S-MODALS performs multi-sensor fusion (Visible(EO), IR, ASARS) and multi-look evidence accrual for tactical and strategic reconnaissance. This paper presents the promising findings of applying S-MODALS to the medical field of lung cancer and the S- MODALS investigation into the intelligent database query of the FBI's ballistic forensic imagery. Since S-MODALS is a learning system, it is readily adaptable to object recognition problems other than ATR as evidenced by this joint government-academia-industry investigation into the S-MODALS automated lung nodule detection and characterization of CT imagery. This paper also presents the full results of a FBI test of the S-MODALS neural network's capabilities to perform an intelligent query of the FBI's ballistic forensic imagery.

Citation Download Citation

Timothy G. Rainey, Dean W. Brettle, Andrew Lavin, Fred Weingard, Claudia I. Henschke, David Yankelevitz, Ioan Mateescu, Lee A. Uvanni, Robert W. Sibert, and Eric Birnbaum "S-MODALS neural network query of medical and forensic imagery databases", Proc. SPIE 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities, (31 January 1995); https://doi.org/10.1117/12.200806

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Computed tomography

Databases

Neural networks

Diagnostics

Forensic science

Biopsy

Firearms

Show All Keywords

Keywords/Phrases

Search In:

Publication Years