{"id":"W4412042405","doi":"10.18280/isi.300523","title":"Federated Learning for Multi-Center Medical Image Classification Using Deep Learning Models","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deep learning; Artificial intelligence; Computer science; Center (category theory); Image (mathematics); Pattern recognition (psychology); Machine learning; Computer vision; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001359109,0.0007841983,0.001044037,0.0008943485,0.0003745249,0.001044544,0.00143964,0.001532329,0.002035927],"category_scores_gemma":[0.002092959,0.0004103884,0.0009092332,0.000958521,0.0004083097,0.001336072,0.001246231,0.001271266,0.0005453502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616465,"about_ca_system_score_gemma":0.001240138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01164543,"about_ca_topic_score_gemma":0.01225928,"domain_scores_codex":[0.9995984,0.00007989918,0.00002563389,0.0001249756,0.00007546176,0.00009567176],"domain_scores_gemma":[0.9994087,0.0001884335,0.00005809812,0.0001278668,0.000170401,0.0000464469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003471224,0.0003402362,0.005105593,0.00005363674,0.0001604341,0.000159162,0.0000651364,0.6805475,0.002858322,0.002903444,0.00462951,0.3028299],"study_design_scores_gemma":[0.000003932049,0.00002123522,0.0001812511,0.00000315971,0.00000507824,0.00001096792,0.000007334512,0.9976075,0.0006434108,0.001358337,0.0001551719,0.000002527305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1189949,0.0006904562,0.871543,0.0009237158,0.0001255171,0.00008787345,0.0004039909,0.004985157,0.002245422],"genre_scores_gemma":[0.8936612,0.0001607174,0.1013097,0.0002688843,0.00004269153,0.00008165358,0.0006663199,0.00007101714,0.00373781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01164543,"threshold_uncertainty_score":0.02315533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06097402904397003,"score_gpt":0.3049043000563323,"score_spread":0.2439302710123623,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}