DocumentCode :
3083252
Title :
An Internet-based melanoma screening system with acral volar lesion support
Author :
Iyatomi, Hitoshi ; Celebi, M. ; Oka, Hiroshi ; Tanaka, Masaru
Author_Institution :
Faculty of Engineering, Hosei University, 3-7-2 Kajinocho, Koganei, 184-8522, Tokyo, Japan
fYear :
2008
fDate :
20-25 Aug. 2008
Firstpage :
5156
Lastpage :
5159
Abstract :
In this paper, we present an Internet-based melanoma screening system that newly supports acral volar lesions. A half of Asian melanomas are from these areas and they show completely different appearance from other lesions. Our screening system is accessible from all over the world and diagnoses dermoscopy images within 3–5 sec based on a neural network classifier for non-acral lesions or newly integrated linear classifier for acral volar lesions. Our system achieves a sensitivity of 85.9% and a specificity of 86.0% on a set of 1258 non-acral dermoscopy images and a sensitivity of 93.3% and a specificity of 91.1% on a set of 199 acral volar dermoscopy images using a leave-one-out cross-validation.
Keywords :
Artificial neural networks; Biomedical imaging; Data mining; Hospitals; Internet; Lesions; Malignant tumors; Medical diagnostic imaging; Neural networks; Skin neoplasms; Algorithms; Artificial Intelligence; Dermoscopy; Hand; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Internet; Mass Screening; Melanoma; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Skin Neoplasms; User-Computer Interface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
ISSN :
1557-170X
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2008.4650375
Filename :
4650375
Link To Document :
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