Diego Pagnoncelli

Comparative Performance of Classical Statistical and Machine Learning Models for Melanoma Classification

Early and accurate classification of melanoma is essential for improving patient outcomes and supporting clinical decision-making. Although numerous predictive models have been proposed, comparisons between classical statistical approaches and modern machine learning algorithms are often limited by heterogeneous analyt...