{"id":"W4401506922","doi":"10.1109/access.2024.3442374","title":"Ultrasound Breast Image Classification Through Domain Knowledge Integration Into Deep Neural Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"AI in cancer detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial neural network; Artificial intelligence; Image (mathematics); Domain (mathematical analysis); Deep learning; Pattern recognition (psychology); Computer vision; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004369875,0.0008665898,0.0006279114,0.0007403476,0.0001923894,0.0007281403,0.001168616,0.0007749327,0.001545283],"category_scores_gemma":[0.001111611,0.0003210902,0.0006734279,0.0007462953,0.0002924903,0.001184472,0.0008281975,0.001095939,0.0007213064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008480072,"about_ca_system_score_gemma":0.0007785151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009520597,"about_ca_topic_score_gemma":0.01166486,"domain_scores_codex":[0.9997596,0.00003422348,0.00001493876,0.00008488037,0.00006519974,0.00004120037],"domain_scores_gemma":[0.9997217,0.00008409513,0.0000365011,0.00004641579,0.00009531515,0.00001592723],"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":[0.0001589565,0.0002896396,0.002049481,0.00009925287,0.0001280641,0.0001051504,0.00004996957,0.3912249,0.01140687,0.003244817,0.006180019,0.5850629],"study_design_scores_gemma":[0.000003048838,0.00001575914,0.0002171554,0.000006086732,0.00001345396,0.00001192447,0.000004661659,0.9956572,0.002039796,0.001438327,0.000589007,0.000003624478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07222773,0.002215992,0.9121543,0.0006530442,0.000133188,0.00011304,0.0005032201,0.006770494,0.005229032],"genre_scores_gemma":[0.8040145,0.001391817,0.1844938,0.0005518498,0.0001420809,0.0001997728,0.001914025,0.0001246677,0.007167592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009520597,"threshold_uncertainty_score":0.01893038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701097292145783,"score_gpt":0.3276297319187769,"score_spread":0.3006187589973191,"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."}}