{"id":"W4301035368","doi":"10.1007/978-3-031-02245-6_5","title":"Segmentation with Graph Algorithms","year":2009,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on image, video, and multimedia processing","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Algorithm","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":[0.0004667887,0.001664377,0.001556061,0.003305425,0.0008247689,0.002281983,0.001691468,0.001437111,0.01662301],"category_scores_gemma":[0.001604688,0.001215556,0.001529609,0.003284542,0.001231992,0.002392706,0.00157397,0.00229883,0.01124653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010607,"about_ca_system_score_gemma":0.0007414278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002278411,"about_ca_topic_score_gemma":0.003080327,"domain_scores_codex":[0.9992355,0.0001518375,0.00003220713,0.000342347,0.0001870724,0.00005119467],"domain_scores_gemma":[0.9994148,0.0002016458,0.00003420221,0.0001962127,0.0001224449,0.00003073754],"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":[0.0001071869,0.00008565172,0.0002561215,0.0004381349,0.0001267353,0.0000865421,0.0001114774,0.07899345,0.01372683,0.1212871,0.04155465,0.7432261],"study_design_scores_gemma":[0.00003994309,0.00006197951,0.0005555,0.0001142949,0.00006893955,0.0002791599,0.00006125357,0.451529,0.01438726,0.4467701,0.08607536,0.00005706434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00141858,0.001488492,0.9831522,0.0002642664,0.0001911121,0.00006415527,0.0002143027,0.002282084,0.01092483],"genre_scores_gemma":[0.04402981,0.002406558,0.930433,0.0002811685,0.0003096489,0.0001578791,0.001481561,0.001562559,0.01933787],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01662301,"threshold_uncertainty_score":0.05560952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274659331304774,"score_gpt":0.2613823546436144,"score_spread":0.2486357613305667,"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."}}