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Artificial intelligence approaches for cytological image interpretation

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2 Author(s)
V. R. Benjamins ; Lab. of Integrated Syst., Sao Paulo Univ., Brazil ; A. R. P. L. Albuquerque

Pathology deals with the recognition of diseases by inspection of cell tissue through a microscope. Providing automated support to pathologists involves two tasks to be solved. First, optical images, provided by an optical microscope, have to be interpreted to decide on the relevant cell characteristics. Secondly, the relevant information is used for disease recognition or identification. In this article we discuss some artificial intelligence approaches relevant for these problems

Published in:

Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on  (Volume:3 )

Date of Conference:

2-5 Oct 1994