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Pigmented skin lesion computerized analysis via mobile devices.

, , и . SCCG, стр. 105-108. ACM, (2015)

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João Vasconcelos

Gil dos Santos Guerreiro João

Maria João Almeida Carvalho

João Barros

João Fonseca

 

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