{"id":"W2122352893","doi":"10.1109/iembs.2005.1616500","title":"Slice-Based Prostate Segmentation in 3D US Images Using Continuity Constraint","year":2005,"lang":"en","type":"article","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Artificial Intelligence in Medicine (Canada); Robarts Clinical Trials","funders":"","keywords":"Constraint (computer-aided design); Computer science; Segmentation; Computer vision; Artificial intelligence; Image segmentation; Prostate; Pattern recognition (psychology); Mathematics; Medicine","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":[0.0004995674,0.0001167491,0.0001342322,0.0001560496,0.00004601389,0.0001605623,0.0002901398,0.00004140966,0.0001771738],"category_scores_gemma":[0.00005585785,0.0001080611,0.00002994893,0.0002866578,0.0001081847,0.000786852,0.00007338107,0.0001157994,0.000025585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001598564,"about_ca_system_score_gemma":0.0001226618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001891275,"about_ca_topic_score_gemma":0.00007876694,"domain_scores_codex":[0.9986893,0.0001091302,0.0003524874,0.0003014374,0.0003054944,0.0002421706],"domain_scores_gemma":[0.9994045,0.00007471474,0.0001099356,0.0002387258,0.00008061127,0.00009149818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001043768,0.0002204044,0.008538267,0.00003109083,0.000007346094,0.00003464752,0.0008250683,0.0004633175,0.2041822,0.001052224,0.0007258441,0.7839091],"study_design_scores_gemma":[0.0009847268,0.00004669005,0.004687041,0.00003985839,0.000003383964,0.000008364724,0.00005453378,0.1713274,0.8223254,0.0001838281,0.0001415765,0.0001972079],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05493992,0.00001408763,0.9419495,0.0006145492,0.00004958785,0.0004166683,0.000002811078,0.0003098149,0.001703085],"genre_scores_gemma":[0.3031524,0.000003073902,0.6947841,0.001921368,0.00001738532,0.00002033685,0.00000410252,0.000004738393,0.00009248441],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.783712,"threshold_uncertainty_score":0.4406604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807266918764077,"score_gpt":0.3032247075260192,"score_spread":0.2851520383383784,"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."}}