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Fighting Melanoma with Smartphones: A Snapshot of Where We are a Decade after App Stores Opened Their Doors., , , , and . I. J. Medical Informatics, (2018)Transforming Dermatologic Imaging for the Digital Era: Metadata and Standards., , , , , and . J. Digital Imaging, 31 (4): 568-577 (2018)Anatomical Skin Segmentation in Reflectance Confocal Microscopy with Weak Labels., , , , and . DICTA, page 1-8. IEEE, (2015)Mobile Medical Applications for Melanoma Risk Assessment: False Assurance or Valuable Tool?, , , and . HICSS, page 2675-2684. IEEE Computer Society, (2014)Concurrent Reflectance Confocal Microscopy and Laser Doppler Flowmetry to Improve Skin Cancer Imaging: A Monte Carlo Model and Experimental Validation., , , , , , , and . Sensors, 16 (9): 1411 (2016)Segmentation of skin strata in reflectance confocal microscopy depth stacks., , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94131U. SPIE, (2015)Slim-YOLO: A Simplified Object Detection Model for the Detection of Pigmented Iris Freckles as a Potential Biomarker for Cutaneous Melanoma., , , , , , and . DICTA, page 1-8. IEEE, (2021)Automatic detection of blue-white veil and related structures in dermoscopy images., , , , , , and . Comp. Med. Imag. and Graph., 32 (8): 670-677 (2008)Fuzzy logic techniques for blotch feature evaluation in dermoscopy images., , , , , , , , and . Comp. Med. Imag. and Graph., 33 (1): 50-57 (2009)Mobile teledermatology coming in age., , , , , , and . Elektrotechnik und Informationstechnik, 123 (4): 148-151 (2006)