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Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists., , , , , , , , , and . Artif. Intell. Medicine, 60 (1): 13-26 (2014)Unmixing Prior to Supervised Classification of Remotely Sensed Hyperspectral Images., , , , and . IEEE Geosci. Remote. Sens. Lett., 8 (4): 760-764 (2011)A simple weighted thresholding method for the segmentation of pigmented skin lesions in macroscopic images., , and . Pattern Recognit., (2017)Automatic Segmentation of Dermoscopic Images by Iterative Classification., , , , and . Int. J. Biomedical Imaging, (2011)On the incorporation of spatial information to endmember extraction: Survey and algorithm comparison., , and . WHISPERS, page 1-4. IEEE, (2009)Automated Extraction of Image-Based Endmember Bundles for Improved Spectral Unmixing., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 5 (2): 396-408 (2012)A Quantitative and Comparative Analysis of Different Implementations of N-FINDR: A Fast Endmember Extraction Algorithm., and . IEEE Geosci. Remote. Sens. Lett., 6 (4): 787-791 (2009)Spectral-textural endmember extraction., , , and . WHISPERS, page 1-4. IEEE, (2010)Experiments on feature extraction in remotely sensed hyperspectral image data., and . IGARSS, page 964-967. IEEE, (2004)Analysis of Different Strategies for Incorporating Spatial Information in the Design of Endmember Extraction Algorithms from Hyperspectral Data., , and . IGARSS (4), page 877-880. IEEE, (2009)