{"id":"W2126175023","doi":"10.1109/crv.2006.42","title":"Image Thresholding Using Ant Colony Optimization","year":2006,"lang":"en","type":"article","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thresholding; Ant colony optimization algorithms; Computer science; Artificial intelligence; ANT; Image (mathematics); Computer vision; Ant colony; Pattern recognition (psychology)","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":[0.0005687537,0.000486257,0.0009350913,0.0007317662,0.0003682505,0.0008696616,0.0007876048,0.0007387449,0.001058645],"category_scores_gemma":[0.002366978,0.0003226281,0.0004460368,0.0007475526,0.0005486092,0.0007360567,0.0005747859,0.0005589132,0.0003195136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512588,"about_ca_system_score_gemma":0.0004009545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492199,"about_ca_topic_score_gemma":0.00125801,"domain_scores_codex":[0.9995031,0.0001198693,0.00002384993,0.00007622666,0.0002479301,0.00002893574],"domain_scores_gemma":[0.9992379,0.0004197703,0.00008246876,0.00005965281,0.0001759307,0.00002436635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001184491,0.00009797082,0.001034698,0.0002742659,0.0001148401,0.0001981779,0.0002195955,0.6140819,0.04826785,0.01714366,0.001617131,0.3168314],"study_design_scores_gemma":[0.000009334733,0.00004179788,0.0001974024,0.00001081295,0.00001341004,0.00007301195,0.00001499018,0.9887095,0.006008412,0.002894552,0.002018167,0.000008492452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01985841,0.0004515286,0.9740282,0.0001315514,0.00004101888,0.00007299321,0.000009589485,0.0005483238,0.004858293],"genre_scores_gemma":[0.393057,0.0008058653,0.6010589,0.0001209768,0.00003455285,0.0001345202,0.00003941941,0.0001807357,0.004568073],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001492199,"threshold_uncertainty_score":0.00354147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720756112585848,"score_gpt":0.2866701728225589,"score_spread":0.2694626116967004,"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."}}