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

fYear

2010

Firstpage

1

Lastpage

10

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;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences (HICSS), 2010 43rd Hawaii International Conference on

Conference_Location

Honolulu, HI

ISSN

1530-1605

Print_ISBN

978-1-4244-5509-6

Electronic_ISBN

1530-1605

Type

conf

DOI

10.1109/HICSS.2010.76

Filename

5428371