Application of multifractal analysis on microscopic images in the classification of metastatic bone disease.
The paper considers the method, based on multifractal (MF) analysis, for classifying the shape of tissue cells from microscopis images, identifying the primary cancer in cases of metastasis bone disease. Diagnosis of primary cancer is of great importance, because further treatment depends on how successful and accurate that diagnosis is. This method can be applied as an additional and objective tool in primary cancer diagnosis, as well as in decreasing of the subjective factor and error probability. The method is tested over a large number (1050) of clinical cases from the Institute of Pathology, University of Belgrade. The results of computer-aided analysis of images have been presented and discussed.
Institute "Mihajlo Pupin", University of Belgrade, Volgina 15, Belgrade, Serbia. jvasiljevic74@gmail.com
Jelena
J
Vasiljevic
Branimir
B
Reljin
Jelena
J
Sopta
Vesna
V
Mijucic
Goran
G
Tulic
Irini
I
Reljin
D000465:Algorithms; D001859:Bone Neoplasms / Q000145:classification* / Q000175:diagnosis / Q000556:secondary; D001943:Breast Neoplasms / Q000175:diagnosis / Q000473:pathology; D002292:Carcinoma, Renal Cell / Q000175:diagnosis / Q000473:pathology; D003952:Diagnostic Imaging / Q000379:methods*; D018450:Disease Progression; D005260:Female; D017709:Fractals; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008175:Lung Neoplasms / Q000175:diagnosis / Q000473:pathology; D008853:Microscopy / Q000295:instrumentation / Q000379:methods*