{"id":"W4387670671","doi":"10.1007/s12553-023-00783-x","title":"Automatic detection of breast masses using deep learning with YOLO approach","year":2023,"lang":"en","type":"article","venue":"Health and Technology","topic":"AI in cancer detection","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Public Health Agency of Canada","keywords":"Deep learning; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00026402,0.0004922999,0.0004762019,0.0009788087,0.0002343909,0.0005482448,0.0005910897,0.0006201829,0.001746615],"category_scores_gemma":[0.0005746867,0.000235595,0.0004453963,0.0003377947,0.0001488913,0.0004371962,0.0006693081,0.0004766717,0.0007589372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002407996,"about_ca_system_score_gemma":0.0004354515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002918879,"about_ca_topic_score_gemma":0.006539869,"domain_scores_codex":[0.9998661,0.00001496907,0.000005878999,0.00003285324,0.00003174873,0.00004844553],"domain_scores_gemma":[0.9998311,0.00005126506,0.00002245225,0.00001575475,0.0000606961,0.00001874396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006384808,0.0003800933,0.01464025,0.0002150761,0.0001024749,0.0003406905,0.00008141926,0.02586424,0.135457,0.00254608,0.008234488,0.8114998],"study_design_scores_gemma":[0.00002537176,0.00013983,0.008412393,0.00004783364,0.00006581876,0.0002960637,0.00005970572,0.9468634,0.03820815,0.002225206,0.003635918,0.0000203477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2398678,0.002183335,0.7477378,0.0006251557,0.0002081118,0.0001261633,0.0009691123,0.003524117,0.004758452],"genre_scores_gemma":[0.7329382,0.0008142331,0.2523832,0.0004106733,0.0001218102,0.0001003721,0.001588264,0.0001400614,0.01150323],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002918879,"threshold_uncertainty_score":0.005843043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598663904390192,"score_gpt":0.259896787224326,"score_spread":0.2439101481804241,"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."}}