Image processing for accurate cell recognition and count on histologic slides.
OBJECTIVE
To design an automatic system for recognition and count of two different cell families on histologic slides.


METHODS
The segmentation strategy uses color information on the image. The morphologic operations and Support Vector Machine approaches are used for each color to obtain precise segmentation of the image into separate cells for recognition.


RESULTS
A large set of histologic slides of bone marrow was assessed byour system and the results compared to the score of a human expert. The results are in good agreement. The difference is within acceptable limits (below 10%).


CONCLUSIONS
The automatic system of cell recognition and extraction is accurate and provides a useful tool for cell recognition and count on histologic slides.
Markiewicz
Tomasz
T
Warsaw University of Technology, Warsaw, Poland.
Osowski
Stanislaw
S
Patera
Janusz
J
Kozlowski
Wojciech
W
D002452:Cell Count / Q000379:methods*; D048430:Cell Shape; D002477:Cells / Q000166:cytology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D012680:Sensitivity and Specificity