Title :
Automated Application of the “ 7-point checklist ” Diagnosis Method for Skin Lesions: Estimation of Chromatic and Shape Parameters.
Author :
Betta, Giovanni ; Di Leo, G. ; Fabbrocini, G. ; Paolillo, A. ; Scalvenzi, M.
Author_Institution :
DAEIMI Univ. of Cassino
Abstract :
Early detection of melanoma is one of the greatest challenges of dermatologic practice today. A new diagnostic method, the "ELM 7 point checklist", defines a set of seven features, based on colour and texture parameters, which describe the malignancy of a lesion. This paper describes image processing algorithms which estimate chromatic and shape parameters involved in the detection of the occurrence of two important criteria of the "7-point checklist" method
Keywords :
medical image processing; patient diagnosis; skin; dermoscopy; image analysis; image processing; melanoma detection; pigment network; skin lesions; Image color analysis; Image processing; Lesions; Malignant tumors; Microscopy; Pattern analysis; Pigmentation; Shape; Skin cancer; Visualization; Image analysis; dermoscopy; pigment network; texture;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
DOI :
10.1109/IMTC.2005.1604486
