Work

Supplemental Material

Year: 2026

Type: supplementary-materials

Abstract: In the supplementary material, it is available the best hyperparameter frequency for each of the trained networks (Table S1), the lesion location information for patients from both datasets (Table S2), the full results of model training (Table S3), the results of model training on a fixed feature set (Table S4), the statistical results of the comparison of model errors with possible confounding factors (Tables S5 and S6) and the results of cross-dataset predictions (Table S7).

Source: AIP Publishing

DOI: 10.60893/figshare.apb.30963359

Authors: Lassi, Michael, Dalise, Stefania, Privitera, Luigi, Giannini, Nicola, Mancuso, Michelangelo, Azzollini, Valentina, Ciapetti, Tommaso, Grippo, Antonello, Micera, Silvestro, Cecchi, Francesca, Mazzoni, Alberto, Chisari, Carmelo, Bandini, Andrea

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7127092205

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