{"id":"W3033951167","doi":"10.1109/crv50864.2020.00022","title":"Histological Image Classification using Deep Features and Transfer Learning","year":2020,"lang":"en","type":"article","venue":"","topic":"AI in cancer detection","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Convolutional neural network; Transfer of learning; Artificial intelligence; Support vector machine; Pattern recognition (psychology); Deep learning; Block (permutation group theory); Feature (linguistics); Feature extraction; Contextual image classification; Feature vector; Machine learning; Domain (mathematical analysis); Class (philosophy); Image (mathematics); Mathematics","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":[0.001280661,0.0007887363,0.0006488245,0.002125406,0.000260145,0.0009657047,0.001557255,0.0009764712,0.002920507],"category_scores_gemma":[0.003144838,0.000308659,0.0008893387,0.001240806,0.0005167318,0.001805879,0.001266299,0.001043454,0.001344678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082249,"about_ca_system_score_gemma":0.0008156333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003577565,"about_ca_topic_score_gemma":0.003835015,"domain_scores_codex":[0.9994847,0.00008120298,0.00003219108,0.0001712845,0.0001472179,0.00008341008],"domain_scores_gemma":[0.9990269,0.0003129323,0.000141254,0.0002443994,0.000224136,0.00005044786],"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":[0.000363882,0.0003735927,0.008614758,0.0001729434,0.0001607742,0.0001518925,0.00007883523,0.1779093,0.02258732,0.004505965,0.006525545,0.7785552],"study_design_scores_gemma":[0.00001510677,0.0001097935,0.002303727,0.00001410797,0.00001524728,0.00007687611,0.00002753353,0.9797879,0.009029551,0.007408497,0.001198252,0.00001349806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1743408,0.0009995333,0.8094288,0.0004913318,0.0001248294,0.0002323917,0.001031761,0.009276627,0.004073921],"genre_scores_gemma":[0.8051009,0.0002493683,0.1877888,0.0001676952,0.00007030636,0.0001742346,0.002274584,0.0001752772,0.003998772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003577565,"threshold_uncertainty_score":0.009770095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04908896243934385,"score_gpt":0.2665864291321732,"score_spread":0.2174974666928293,"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."}}