Title :
Qualitative asymmetry measure for melanoma detection
Author :
D´Amico, Michele ; Ferri, Massimo ; Stanganelli, Ignazio
Author_Institution :
Dept. of Math., Bologna Univ., Italy
Abstract :
Size functions and support vector machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry. The program is used, at clinical level, with two thresholds, so that comparison of the two outputs produces a report of low-middle-high risk. Experimental results with cross-validation are reported.
Keywords :
cancer; image classification; learning (artificial intelligence); medical image processing; support vector machines; tumours; melanoma lesion detection; qualitative asymmetry measure; size functions; support vector machines; Cancer; Coordinate measuring machines; Diseases; Lesions; Malignant tumors; Mathematics; Pigmentation; Shape; Support vector machine classification; Support vector machines;
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8388-5
DOI :
10.1109/ISBI.2004.1398748
