{"id":"W4284895461","doi":"10.1155/2022/8517706","title":"Breast Cancer Detection on Histopathological Images Using a Composite Dilated Backbone Network","year":2022,"lang":"en","type":"article","venue":"Computational Intelligence and Neuroscience","topic":"AI in cancer detection","field":"Computer Science","cited_by":237,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Backbone network; Computer science; Artificial intelligence; Detector; Deep learning; Convolution (computer science); Segmentation; Feature (linguistics); Pattern recognition (psychology); Artificial neural network; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005577389,0.000555701,0.0003903943,0.001298005,0.0003122688,0.0005113803,0.0006723519,0.0006262626,0.001865337],"category_scores_gemma":[0.001049804,0.0002574538,0.0004164357,0.0007383428,0.0002858707,0.0007506355,0.0007520147,0.0004476957,0.0007526571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006045483,"about_ca_system_score_gemma":0.0006115388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004058599,"about_ca_topic_score_gemma":0.006289904,"domain_scores_codex":[0.9998007,0.00003024054,0.000006617741,0.00006659015,0.00005647779,0.00003931521],"domain_scores_gemma":[0.9996923,0.00006241367,0.00004000788,0.00005034713,0.0001223822,0.0000325506],"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":[0.0008060637,0.0002937633,0.01342281,0.0001502038,0.0001733966,0.0006854953,0.0001605293,0.1448021,0.1121755,0.004936428,0.01066153,0.7117323],"study_design_scores_gemma":[0.00001651221,0.00009487327,0.00466193,0.00001320276,0.00003870246,0.0002850796,0.0000326171,0.9662279,0.02307272,0.002832028,0.002709713,0.00001469635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4115535,0.0008282767,0.5718397,0.0007719205,0.0001287288,0.0001968906,0.001244192,0.003989437,0.009447334],"genre_scores_gemma":[0.7612526,0.0004637496,0.2270436,0.0002416947,0.00007823731,0.00008549219,0.001817781,0.0001474171,0.008869445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004058599,"threshold_uncertainty_score":0.008069932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05077951029351844,"score_gpt":0.2974821849732336,"score_spread":0.2467026746797152,"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."}}