{"id":"W134295422","doi":"","title":"Multi-seed segmentation of the primary tumor mass in neuroblastoma using opening-by-reconstruction","year":2006,"lang":"en","type":"article","venue":"International Conference on Biomedical Engineering","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Segmentation; Fuzzy logic; Computer science; Artificial intelligence; Neuroblastoma; Pattern recognition (psychology); Similarity (geometry); Scale-space segmentation; Image segmentation; Computer vision; Image (mathematics); Biology","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":[0.0001082201,0.00009398445,0.0001376001,0.0001371273,0.0000184524,0.00001375314,0.0001573329,0.00004801176,0.00007514386],"category_scores_gemma":[0.00007180114,0.00007360991,0.00004524562,0.0001919522,0.00009561919,0.00005457245,0.00003732306,0.0002135969,0.000002081541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001277392,"about_ca_system_score_gemma":0.00006533332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001064992,"about_ca_topic_score_gemma":0.000001831274,"domain_scores_codex":[0.9990345,0.00001216694,0.000323287,0.000163188,0.0003515761,0.0001153215],"domain_scores_gemma":[0.9996462,0.00002673648,0.00009189311,0.0001145099,0.00006625517,0.0000543337],"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":[0.0000156203,0.0001164335,0.002551191,0.00002715147,0.000008629085,0.000004535202,0.000007502335,0.0002257072,0.9949695,0.001136358,0.0001368324,0.0008005415],"study_design_scores_gemma":[0.001199388,0.00005684778,0.02523102,0.0006587198,0.00001589309,0.00006442029,0.00002445576,0.8951328,0.07675728,0.000105164,0.0006326271,0.0001213939],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533983,0.00000899621,0.1424202,0.0029529,0.0003354121,0.0003342274,0.00002695134,0.0000718401,0.0004511758],"genre_scores_gemma":[0.953545,0.000004722101,0.04607545,0.0001682206,0.00006581329,0.0000247368,0.00004176539,0.00001087069,0.00006341702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9182122,"threshold_uncertainty_score":0.3001725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342368845267616,"score_gpt":0.2904106711475591,"score_spread":0.2669869826948829,"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."}}