{"id":"W4294612686","doi":"10.1038/s41379-022-01146-z","title":"Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images","year":2022,"lang":"en","type":"article","venue":"Modern Pathology","topic":"AI in cancer detection","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; BC Cancer Agency; Vancouver General Hospital; University of British Columbia","funders":"CIHR Skin Research Training Centre; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC; Government of Canada","keywords":"Pathology; Hematopathology; Medicine; Cytopathology; Anatomical pathology; Ovarian carcinoma; Ovarian cancer; Biology; Immunohistochemistry; Cancer; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005844738,0.0002009733,0.0003591518,0.0003102745,0.0003387578,0.00001962638,0.0009577618,0.0001223311,0.0001259028],"category_scores_gemma":[0.0001007737,0.0002341289,0.0001261232,0.0004030298,0.0001770096,0.0001454652,0.0006133539,0.0005480503,0.00002577012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801544,"about_ca_system_score_gemma":0.0001351281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009133633,"about_ca_topic_score_gemma":0.00003686927,"domain_scores_codex":[0.9973119,0.0008328469,0.000369188,0.0007549558,0.0003003201,0.0004307929],"domain_scores_gemma":[0.998484,0.0002100931,0.0002930167,0.0008389214,0.0001033715,0.00007065413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002958513,0.000778052,0.1878448,0.0001271677,0.00005331389,0.004468171,0.009412893,0.4135557,0.04772073,0.002986646,0.001796682,0.33096],"study_design_scores_gemma":[0.00258551,0.003820059,0.1147687,0.00001151934,0.00007355456,0.001351315,0.0001547556,0.8181119,0.02336262,0.0158922,0.01892599,0.0009419312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1831,0.0009305914,0.8125256,0.001685556,0.0009668955,0.0001829273,0.00001130982,0.0002130003,0.0003841533],"genre_scores_gemma":[0.9867418,0.00001021567,0.01197554,0.0006296575,0.00005170261,0.0003594903,0.00001355642,0.0000307702,0.0001872045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8036419,"threshold_uncertainty_score":0.95475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287668340762892,"score_gpt":0.2250237535145489,"score_spread":0.2121470701069199,"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."}}