{"id":"W4232872903","doi":"10.1007/978-3-642-15352-5_4","title":"Multiregion Segmentation","year":2010,"lang":"en","type":"book-chapter","venue":"Springer topics in signal processing","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Partition (number theory); Mathematics; Segmentation; Image (mathematics); Domain (mathematical analysis); Plane (geometry); Geometry; Computer science; Artificial intelligence; Combinatorics; Mathematical analysis","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":[0.0003463521,0.001087811,0.0008568012,0.00181647,0.0004880841,0.001639317,0.00126882,0.001206851,0.03930397],"category_scores_gemma":[0.0005013546,0.0008435079,0.0008654856,0.001683781,0.000398447,0.001548594,0.001209208,0.0008431765,0.02264969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003565231,"about_ca_system_score_gemma":0.0004118304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005687485,"about_ca_topic_score_gemma":0.001114763,"domain_scores_codex":[0.9996952,0.00002116995,0.00001463212,0.0001183092,0.0001236066,0.0000270829],"domain_scores_gemma":[0.9997556,0.00004386492,0.00001413931,0.00009782179,0.00007209316,0.00001646165],"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":[0.0001109885,0.00003737953,0.0002219905,0.0004894812,0.0000605956,0.00024329,0.00009090528,0.01062176,0.1215374,0.01671094,0.02943471,0.8204405],"study_design_scores_gemma":[0.00002482374,0.0001625042,0.002576541,0.0002845703,0.0001652414,0.005708726,0.0001154605,0.1462623,0.236793,0.04087376,0.5669389,0.00009414085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003553416,0.004911987,0.9307085,0.0001736929,0.0003098204,0.00011329,0.0006000506,0.005024246,0.05460502],"genre_scores_gemma":[0.05488703,0.005666423,0.8110819,0.000322855,0.0002456431,0.0001190237,0.002693519,0.003541808,0.1214418],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03930397,"threshold_uncertainty_score":0.1314849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917105946534771,"score_gpt":0.2918576990864906,"score_spread":0.2626866396211429,"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."}}