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No-reference Blur Assessment of Dermatological Images Acquired via Mobile Devices., and . ICISP, volume 8509 of Lecture Notes in Computer Science, page 350-357. Springer, (2014)A new risk assessment methodology for dermoscopic skin lesion images., , and . MeMeA, page 570-575. IEEE, (2015)A Mobile-Based Prototype for Skin Lesion Analysis: Towards a Patient-Oriented Design Approach., , and . Int. J. Online Biomed. Eng., 9 (S8): 27-29 (2013)Automatic Segmentation Methodology for Dermatological Images Acquired via Mobile Devices., and . HEALTHINF, page 246-251. SciTePress, (2015)Deep Learning Models for Segmentation of Mobile-Acquired Dermatological Images., , , and . ICIAR (2), volume 12132 of Lecture Notes in Computer Science, page 228-237. Springer, (2020)Improving Teledermatology Referral with Edge-AI: Mobile App to Foster Skin Lesion Imaging Standardization., , , , , and . BIOSTEC (Selected Papers), volume 1710 of Communications in Computer and Information Science, page 158-179. Springer, (2021)SousChef: Mobile Meal Recommender System for Older Adults., , , , , and . ICT4AgeingWell, page 36-45. SCITEPRESS, (2017)Cervical Cancer Detection and Classification in Cytology Images Using a Hybrid Approach., , , and . ISVC (2), volume 13018 of Lecture Notes in Computer Science, page 299-312. Springer, (2021)Methodologies to build automatic point distribution models for faces represented in images., and . CompIMAGE, page 435-440. Taylor & Francis, (2006)Automatic analogue gauge reading using smartphones for industrial scenarios., , , and . ICMLT, page 277-284. ACM, (2023)