NDLI: Registration of nevi in successive skin images for early detection of melanoma

Content Provider	IEEE Xplore Digital Library
Author	Roning, J. Riech, M.
Copyright Year	1998
Description	Author affiliation: Dept. of Electr. Eng., Oulu Univ., Finland (Roning, J.)
Abstract	The only cure for malignant melanoma (skin cancer) is early detection. Surgical removal of a newly developed melanoma will result in complete cure. In this study, the first steps towards the development of a skin cancer detection system are reported. One possible way to detect early the occurrence of melanoma is to screen the body of a patient at regular intervals for changes or new lesions. To increase the accuracy of this laborious and painstaking task, a computer vision system could be used. One of the most important problems involved in a vision system of this kind is the need to determine which lesions in successive skin images taken over a given period, represent the same lesions. Repeated registrations of skin images also detect new lesions that do not have a counterpart on the previous image. After registration, the lesions in successive images are compared for alterations in size, shape, colour and so on, to detect changes that are suggestive of melanoma. In this paper, we introduce a new algorithm for the registration of lesions in successive skin images. The baseline algorithm requires two initial matches to register the other lesions in the images. The initial matches are provided by a physician or an algorithm that selects the most likely initial matches. The test suggests that the baseline algorithm determines 99% of the matches correctly, and this performance is largely independent of the number of lesions in the skin images.
Starting Page	352
Ending Page	357
File Size	74171
Page Count	6
File Format	PDF
ISBN	0818685123
ISSN	10514651
DOI	10.1109/ICPR.1998.711152
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-08-20
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Malignant tumors Lesions Machine vision Skin cancer Cancer detection Computer vision Oncological surgery Shape Testing Image registration
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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