31 January 1995 S-MODALS neural network query of medical and forensic imagery databases
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy G. Rainey, Timothy G. Rainey, Dean W. Brettle, Dean W. Brettle, Andrew Lavin, Andrew Lavin, Fred Weingard, Fred Weingard, Claudia I. Henschke, Claudia I. Henschke, David Yankelevitz, David Yankelevitz, Ioan Mateescu, Ioan Mateescu, Lee A. Uvanni, Lee A. Uvanni, Robert W. Sibert, Robert W. Sibert, Eric Birnbaum, 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); doi: 10.1117/12.200806; https://doi.org/10.1117/12.200806
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