Nucleolus detection in the Fuhrman grading system for application in CCRC.
The paper presents a method for nucleolus detection in images of nuclei in clear-cell renal carcinoma (CCRC). The method is based on the similarity of the nuclei image and the two-dimensional paraboloidal window function. The results of numerical experiments performed on almost 2600 images of CCRC nuclei have confirmed the good accuracy of the method. The developed algorithm will be used to accelerate further research in computer-assisted diagnosis of CCRC.
Michal
M
Kruk
Stanislaw
S
Osowski
Tomasz
T
Markiewicz
Wojciech
W
Kozlowski
Robert
R
Koktysz
Janina
J
Slodkowska
Bartosz
B
Swiderski
D000465:Algorithms; D002292:Carcinoma, Renal Cell / Q000473:pathology*; D002466:Cell Nucleolus / Q000473:pathology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007680:Kidney Neoplasms / Q000473:pathology*; D008853:Microscopy / Q000379:methods*; D060787:Neoplasm Grading; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity