25 May 1989 On the Application of Pattern Recognition and AI Technique to the Cytoscreening of Vaginal Smears by Computer
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Proceedings Volume 1092, Medical Imaging III: Image Processing; (1989); doi: 10.1117/12.953297
Event: Medical Imaging III, 1989, Newport Beach, CA, United States
Abstract
In this paper the concepts of pattern recognition, image processing and artificial intelligence are applied to the development of an intelligent cytoscreening system to differentiate the abnormal cytological objects from the normal ones in vaginal smears. To achieve this goal,work listed below are involved: 1. Enhancement of the microscopic images of the smears; 2. Elevation of the qualitative differentiation under the microscope by cytologists to a quantitative differentiation plateau on the epithelial cells, ciliated cells, vacuolated cells, foreign-body-giant cells, plasma cells, lymph cells, white blood cells, red blood cells, etc. These knowledges are to be inputted into our intelligent cyto-screening system to ameliorate machine differentiation; 3. Selection of a set of effective features to characterize the cytological objects onto various regions of the multiclustered by computer algorithms; and 4. Systematical summarization of the knowledge that a gynecologist has and the way he/she follows when dealing with a case.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sing T. Bow, Xia-Fang Wang, "On the Application of Pattern Recognition and AI Technique to the Cytoscreening of Vaginal Smears by Computer", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); doi: 10.1117/12.953297; https://doi.org/10.1117/12.953297
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KEYWORDS
Plasma

Intelligence systems

Artificial intelligence

Image processing

Pattern recognition

Cancer

Computing systems

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