{"id":"W4415655898","doi":"10.21037/qims-2024-2903","title":"Deep learning in multi-modal breast cancer data fusion: a literature review","year":2025,"lang":"en","type":"review","venue":"Quantitative Imaging in Medicine and Surgery","topic":"AI in cancer detection","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Deep learning; Breast cancer; Focus (optics); Scarcity; Cancer; Resource (disambiguation)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002970116,0.0004660411,0.002254528,0.001210617,0.0000921227,0.00008533475,0.000853079,0.0001266368,0.0000201033],"category_scores_gemma":[0.001337915,0.0003582822,0.0001244333,0.003122946,0.0001563726,0.0007993772,0.0006232787,0.001245598,0.000003562226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934478,"about_ca_system_score_gemma":0.0005813022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003273978,"about_ca_topic_score_gemma":0.0001942692,"domain_scores_codex":[0.9960446,0.001013134,0.001033912,0.001161081,0.000351316,0.0003959917],"domain_scores_gemma":[0.9956449,0.002836723,0.0004639559,0.0008181671,0.0001542701,0.00008198971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000002983603,0.0000167014,0.0007335548,0.04483947,0.00001847599,0.0002557028,0.0003515191,0.000001980221,9.780942e-8,0.00007431169,0.004193944,0.9495112],"study_design_scores_gemma":[0.0001601254,0.000008826256,0.0002815372,0.5329543,0.00009250719,0.0001691601,0.00005238503,0.01228038,1.345962e-8,0.00002741308,0.4536617,0.0003117579],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.073406e-7,0.9705386,0.02421031,0.003728646,0.0008891607,0.0004802238,0.00002334617,0.00006741501,0.00006202685],"genre_scores_gemma":[0.000002434224,0.9953259,0.003009572,0.0011463,0.0001202879,0.0001402909,0.00015143,0.00002324836,0.00008054035],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9491995,"threshold_uncertainty_score":0.9998869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1087347139619075,"score_gpt":0.4232574601129732,"score_spread":0.3145227461510657,"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."}}