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Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image

Jukić, Ante; Kopriva, Ivica; Cichocki, Andrzej (2013) Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image. Biomedical Signal Processing and Control, 8 (6). pp. 755-763. ISSN 1746-8094

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We propose a method for feature extraction from clinical color images, with application in classification of skin lesions. Proposed feature extraction method is based on tensor decomposition of the clinical color image of skin lesion. Since color image is naturally represented as a three- way tensor, it is reasonable to use multi-way techniques to capture the underlying information contained in the image. Extracted features are elements of the core tensor in the corresponding multi-way decomposition, and represent spatial- spectral profile of the lesion. In contrast to common methods that exploit either texture or spectral diversity of the tumor only, the proposed approach simultaneously captures spatial and spectral characteristics. The procedure is tested on a problem of noninvasive diagnosis of melanoma from the clinical color images of skin lesions, with overall sensitivity 82.1% and specificity 86.9%. Our method compares favorably with the state of the art results reported in the literature and provides an interesting alternative to the existing approaches.

Item Type: Article
Additional Information: NOTICE: this is the author’s version of a work that was accepted for publication in Biomedical Signal Processing and Control. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Biomedical Signal Processing and Control, vol. 8, issue 6, pp.755-763 (2013) DOI: 10.1016/j.bspc.2013.07.001
Uncontrolled Keywords: Multidimensional signal processing; Tensor decomposition; Feature extraction; Noninvasive diagnosis; Melanoma
Subjects: TECHNICAL SCIENCES > Computing
Divisions: Division of Laser and Atomic Research and Development
Project titleProject leaderProject codeProject type
Analiza višespektralih podataka[217905] Ivica Kopriva098-0982903-2558MZOS
Depositing User: Ivica Kopriva
Date Deposited: 28 Apr 2015 13:57
DOI: 10.1016/j.bspc.2013.07.001

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