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DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma
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An Ensemble Architecture for Melanoma Classification
Tommaso Ruga1, Gaia Musacchio1, Danilo Maurmo2
1DIMES, University of Calabria, Rende, Italy.
Studies in Health Technology and Informatics
|May 24, 2024
Abstract:
Melanoma represents an extremely aggressive type of skin lesion. Despite its high mortality rate, when detected in its initial stage, the projected five-year survival rate is notably high. The advancement of Artificial Intelligence in recent years has facilitated the creation of diverse solutions aimed at assisting medical diagnosis. This proposal presents an architecture for melanoma classification.

