{"id":"W4317039778","doi":"10.18280/ria.360620","title":"Deep Learning based Liver Segmentation: A Review","year":2022,"lang":"en","type":"review","venue":"Revue d intelligence artificielle","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deep learning; Segmentation; Artificial intelligence; Computer science; Convolutional neural network; Artificial neural network; Image segmentation; Machine learning; Pattern recognition (psychology); Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005604749,0.0008853024,0.0009542029,0.001799351,0.0001912173,0.0008070939,0.001083998,0.001073437,0.003153392],"category_scores_gemma":[0.001084533,0.0003834325,0.0007064884,0.00204036,0.0003252107,0.001363144,0.0005707657,0.0009412236,0.001818407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004553387,"about_ca_system_score_gemma":0.0009872298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001805972,"about_ca_topic_score_gemma":0.00182266,"domain_scores_codex":[0.9998391,0.00002281938,0.00002817154,0.00003825265,0.00005697361,0.00001471694],"domain_scores_gemma":[0.9996358,0.000188667,0.00003886711,0.00001058705,0.0001054356,0.0000205551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004731565,0.00004771427,0.0002791697,0.009088774,0.00009703034,0.0001164285,0.00002960937,0.001758044,0.0008847208,0.002083937,0.01911741,0.9664497],"study_design_scores_gemma":[0.00003104999,0.0003192949,0.002302215,0.00883211,0.000505232,0.00333052,0.000100567,0.006383749,0.003838922,0.007385661,0.9668692,0.0001015617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004269164,0.9938405,0.00326675,0.0004678611,0.0002278473,0.000009570735,0.00005231105,0.00005468606,0.001653556],"genre_scores_gemma":[0.003584683,0.9920337,0.002423967,0.0003353793,0.0003244177,0.00001663473,0.0001480535,0.00001488755,0.001118284],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003153392,"threshold_uncertainty_score":0.01054913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1692460398924792,"score_gpt":0.3508267475606931,"score_spread":0.1815807076682139,"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."}}