Hance, G., Umbaugh, S., Moss, R. and Stoecker, W.: Unsupervised color image segmentation with application to skin tumor borders, IEEE Engineering in Medicine and Biology (January/February) (1996), 104--111. Home/Search Document Not in Database Summary Related Articles Check |
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Towards a Computer-Aided Diagnosis System for.. - Schmid-Saugeon.. (2003) (Correct)
....the surrounding s kin is higher and simple methods such as histogram thresholding can be sufficient to detect the lesion. In the case of dermatoscopic images, more sophisticated techniques must be developed to achieve this result. Several schemes taken from the literature were evaluated in Refs. [29,30] and an edge focusing algorithm in [31] However, the different approaches do not perform well when the transition between the lesion and the surrounding skin is very smooth, or when the lesion contains different shades of color. We developed two unsupervised algorithms that can be used to obtain ....
Hance GA, Umbaugh SE, Moss RH, Stoecker WV. Unsupervised color image segmentation; with application to skin tumor borders. IEEE Engng Med Biology 1996;15(1):104 -- 11.
Automated Segmentation and Registration of Dermatological Images - Maglogiannis (2003) (1 citation) (Correct)
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Hance, G., Umbaugh, S., Moss, R. and Stoecker, W.: Unsupervised color image segmentation with application to skin tumor borders, IEEE Engineering in Medicine and Biology (January/February) (1996), 104--111.
Colour Segmentation for the Analysis of Pigmented Skin Lesions - Schmid, Fischer (1997) (1 citation) (Correct)
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G. A. Hance, S. E. Umbaugh, R. H. Moss, and W. V. Stoecker. #Unsupervised color image segmentation; with application to skin tumor borders". IEEE Engineering in Medicine and Biology, Vol. 15, No. 1, pp. 104#111, January #February 1996.
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