Francesco Branciforti
Francesco Branciforti
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The role in teledermoscopy of an inexpensive and easy-to-use smartphone device for the classification of three types of skin lesions using convolutional neural networks
F Veronese, F Branciforti, E Zavattaro, V Tarantino, V Romano, ...
Diagnostics 11 (3), 451, 2021
DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks
M Salvi, F Branciforti, F Veronese, E Zavattaro, V Tarantino, P Savoia, ...
Computer Methods and Programs in Biomedicine 225, 107040, 2022
Generative models for color normalization in digital pathology and dermatology: Advancing the learning paradigm
M Salvi, F Branciforti, F Molinari, KM Meiburger
Expert Systems with Applications 245, 123105, 2024
Teledermoscopy in the Diagnosis of Melanocytic and Non-Melanocytic Skin Lesions: NurugoTM Derma Smartphone Microscope as a Possible New Tool in Daily …
F Veronese, V Tarantino, E Zavattaro, F Biacchi, C Airoldi, M Salvi, ...
Diagnostics 12 (6), 1371, 2022
Impact of artificial intelligence‐based color constancy on dermoscopical assessment of skin lesions: A comparative study
F Branciforti, KM Meiburger, E Zavattaro, F Veronese, V Tarantino, ...
Skin Research and Technology 29 (11), e13508, 2023
Parametric Kernels for Artifact Mitigation in Patch-based Image Aggregation using Generative Models
N Michielli, F Marzola, F Branciforti, KM Meiburger, M Salvi
Authorea Preprints, 2023
Sviluppo di un classificatore basato su reti neurali convoluzionali per il riconoscimento del melanoma cutaneo.= Development of a CNN based classifier for the recognition of …
F Branciforti
Politecnico di Torino, 2020
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