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Maria Evelina Fantacci

University of Pisa

Lungarno Pacinotti, 43

Pisa PI, 56126

Italy

  • University of Pisa

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An Explainable-by-Design End-to-End Ai Framework Based on Prototypical Part Learning for Lesion Detection and Classification in Dbt Images

Number of pages: 20 Posted: 02 Aug 2024
Andrea Berti, Camilla Scapicchio, Chiara Iacconi, Charlotte Marguerite Lucille Trombadori, Maria Evelina Fantacci, Alessandra Retico and Sara Colantonio
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Pisa, affiliation not provided to SSRN and affiliation not provided to SSRN
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Ante-hoc explainability, deep learning, ProtoPNet, XAI, DBT, Lesion detection, Lesion classification