{"id":"W4292975821","doi":"10.1109/icdh55609.2022.00012","title":"Brain Tumor Segmentation in MRI Images Using A Modified U-Net Model","year":2022,"lang":"en","type":"article","venue":"","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dice; Segmentation; Robustness (evolution); Artificial intelligence; Computer science; Deep learning; Image segmentation; Medical imaging; Pattern recognition (psychology); Computer vision; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002348563,0.00007548165,0.00007087355,0.0001617466,0.0002503287,0.00004284671,0.000129884,0.00001107359,0.0003456491],"category_scores_gemma":[0.00008706678,0.00008153635,0.0000274167,0.0004461916,0.00003370636,0.0001880237,0.0000653378,0.0001488522,0.00001104079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001426589,"about_ca_system_score_gemma":0.00004790927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006281205,"about_ca_topic_score_gemma":0.00001335772,"domain_scores_codex":[0.9989188,0.0001896642,0.0001820727,0.0003068534,0.0002471719,0.0001554312],"domain_scores_gemma":[0.9996673,0.00007286272,0.00007167598,0.0001459464,0.000008614074,0.00003355389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002355073,0.00005653992,0.00002794,0.000002826499,3.170071e-7,0.000005604446,0.0002655559,0.1286978,0.8670749,0.002605616,0.0007178598,0.0005214721],"study_design_scores_gemma":[0.0003347459,0.0000189213,0.000146379,0.000001002847,0.000001165313,0.00002708383,0.0005393218,0.7592916,0.2381236,0.001365374,0.00006877786,0.00008205931],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9089071,0.000004217418,0.08076368,0.002568179,0.0001614237,0.0003550556,0.00001927854,0.000149426,0.007071694],"genre_scores_gemma":[0.9924178,9.849124e-7,0.001384354,0.003741834,0.00001099906,0.00008234789,0.000003045079,0.0000124423,0.002346244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6305938,"threshold_uncertainty_score":0.3784615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06906249989020664,"score_gpt":0.3043999307740444,"score_spread":0.2353374308838378,"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."}}