Title :
Artificial intelligence approaches for cytological image interpretation
Author :
Benjamins, V.R. ; Albuquerque, A.R.P.L.
Author_Institution :
Lab. of Integrated Syst., Sao Paulo Univ., Brazil
Abstract :
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
Keywords :
biological techniques; biology computing; cellular biophysics; image recognition; knowledge based systems; medical image processing; optical microscopy; AI; artificial intelligence approaches; cell tissue inspection; cytological image interpretation; disease identification; disease recognition; optical microscope; pathology; Artificial intelligence; Diagnostic expert systems; Diseases; Image color analysis; Information analysis; Inspection; Large scale integration; Microscopy; Pathology; Personal communication networks;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.400209
