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Computer-aided decision support for melanoma detection applied on melanocytic and non-melanocytic skin lesions. A comparison of two systems based on automatic analysis of dermoscopic images. Also available in BioMed Research International, vol. 2015 (2015), Article ID 579282 (PDF) 2016-09-21 · Authors: Kajsa Møllersen, Subhra S. Dhar, Fred Godtliebsen (Submitted on 21 Sep 2016) Abstract: Hybrid clustering combines partitional and hierarchical clustering for computational effectiveness and versatility in cluster shape. 2016-07-13 · Authors would like to thank Herbert Kirchesch and Kajsa Møllersen for providing images, Roman Stoklasa for classifier implementation, and Marius Pedersen for proofreading this paper. This research has been supported by the Research Council of Norway through project no.

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Melanoma is the most fatal of all skin cancer types. The only effective treatment is early excision. Kajsa Møllersen et al. Computer-aided decision support for melanoma detection applied on melanocytic and non-melanocytic skin lesions. A comparison of two systems based on automatic analysis of dermoscopic images.

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A comparison of two systems based on automatic analysis of dermoscopic images. Also available in BioMed Research International, vol.

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Melanoma is the most fatal of all skin cancer types. The only effective treatment is early excision. Kajsa Møllersen et al. Computer-aided decision support for melanoma detection applied on melanocytic and non-melanocytic skin lesions.
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Kajsa Møllersen, Subhra S. Dhar, Fred Godtliebsen. Applied Mathematics Vol.7 No.15，September 12, 2016 DOI: 10.4236/am.2016.715143 1,366 Downloads 2,123 Views Citations This article belongs to the Special Issue on Data Clustering Theory and Applications View Kajsa Møllersen’s profile on LinkedIn, the world's largest professional community. Kajsa has 1 job listed on their profile.

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