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Automatic detection and segmentation of vascular structures in dermoscopy images using a novel vesselness measure based on pixel redness and tubularness., , , и . Medical Imaging: Computer-Aided Diagnosis, том 9414 из SPIE Proceedings, стр. 94143M. SPIE, (2015)Segmentation of light and dark hair in dermoscopic images: a hybrid approach using a universal kernel., , и . Medical Imaging: Image Processing, том 7623 из SPIE Proceedings, стр. 76234N. SPIE, (2010)Incorporating clinical knowledge with constrained classifier chain into a multimodal deep network for melanoma detection., , , , и . Comput. Biol. Medicine, (2021)Dullrazor®: A software approach to hair removal from images., , , , и . Comput. Biol. Medicine, 27 (6): 533-543 (1997)A Fully Automatic Random Walker Segmentation for Skin Lesions in a Supervised Setting., , , и . MICCAI (1), том 5762 из Lecture Notes in Computer Science, стр. 1108-1115. Springer, (2009)Automatic detection of translucency using a deep learning method from patches of clinical basal cell carcinoma images., , , , , и . APSIPA, стр. 685-688. IEEE, (2018)Computer-aided detection of basal cell carcinoma through blood content analysis in dermoscopy images., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 105750O. SPIE, (2018)Indentation and Protrusion Detection and Its Applications., , и . Scale-Space, том 2106 из Lecture Notes in Computer Science, стр. 335-343. Springer, (2001)Dermascopic hair disocclusion using inpainting., , и . Medical Imaging: Image Processing, том 6914 из SPIE Proceedings, стр. 691427. SPIE, (2008)Multi-level feature extraction for skin lesion segmentation in dermoscopic images., , , и . Medical Imaging: Computer-Aided Diagnosis, том 8315 из SPIE Proceedings, стр. 83150E. SPIE, (2012)