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Classification of digital pathological images of non‐Hodgkin's lymphoma subtypes based on the fusion of transfer learning and principal component analysis
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Additional file 1 of Artificial intelligence performance in detecting lymphoma from medical imaging: a systematic review and meta-analysis
inferred← citeshttps://doi.org/10.6084/m9.figshare.24966082openalex-snapshot
Additional file 2 of Artificial intelligence performance in detecting lymphoma from medical imaging: a systematic review and meta-analysis
inferred← citeshttps://doi.org/10.70675/b672dc67zccbcz48ffz84a1z2c224407c9a1openalex-snapshot
Nouvelles approches de machine learning pour l'analyse de données en pathologie numérique : application aux lymphomes primitifs du système nerveux central et extension à d'autres pathologies tumorales
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