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Anatomical Skin Segmentation in Reflectance Confocal Microscopy with Weak Labels.

, , , , and . DICTA, page 1-8. IEEE, (2015)

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Fighting Melanoma with Smartphones: A Snapshot of Where We are a Decade after App Stores Opened Their Doors., , , , and . Int. J. Medical Informatics, (2018)Anatomical Skin Segmentation in Reflectance Confocal Microscopy with Weak Labels., , , , and . DICTA, page 1-8. IEEE, (2015)Transforming Dermatologic Imaging for the Digital Era: Metadata and Standards., , , , , and . J. Digit. Imaging, 31 (4): 568-577 (2018)EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition., , , , , , , , and . MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 249-259. Springer, (2023)Mobile Medical Applications for Melanoma Risk Assessment: False Assurance or Valuable Tool?, , , and . HICSS, page 2675-2684. IEEE Computer Society, (2014)Revamping AI Models in Dermatology: Overcoming Critical Challenges for Enhanced Skin Lesion Diagnosis., , , , , , , , , and 1 other author(s). CoRR, (2023)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)Prompt-driven Latent Domain Generalization for Medical Image Classification., , , , , , , , , and . CoRR, (2024)Application of Machine Learning in Melanoma Detection and the Identification of 'Ugly Duckling' and Suspicious Naevi: A Review., , , , , and . CoRR, (2023)