DocumentCode
3380636
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
Volume
3
fYear
2005
fDate
16-19 May 2005
Firstpage
1818
Lastpage
1822
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location
Ottawa, Ont.
Print_ISBN
0-7803-8879-8
Type
conf
DOI
10.1109/IMTC.2005.1604486
Filename
1604486
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