Title :
Automatic Diagnosis of Melanoma: A Software System Based on the 7-Point Check-List
Author :
Di Leo, G. ; Paolillo, A. ; Sommella, P. ; Fabbrocini, G.
Author_Institution :
D.I.I.I.E., Univ. of Salerno, Baronissi, Italy
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. It has been presented as faster and with the same accuracy than the traditional ABCD criteria in the diagnosis of melanoma. In this paper a new system for automated diagnosis of melanocytic skin lesions, based on ELM 7 point checklist, is introduced.
Keywords :
bio-optics; biomedical optical imaging; cancer; image colour analysis; image texture; medical image processing; skin; tumours; ELM 7 point checklist; automatic melanoma diagnosis; colour parameters; dermatology; skin lesion; software system; texture parameters; Clinical diagnosis; Image analysis; Image processing; Lesions; Malignant tumors; Microscopy; Pattern analysis; Pigmentation; Skin cancer; Software systems;
Conference_Titel :
System Sciences (HICSS), 2010 43rd Hawaii International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-5509-6
Electronic_ISBN :
1530-1605
DOI :
10.1109/HICSS.2010.76
