{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001673762,0.00006187398,0.00006516699,0.00007215837,0.00007506542,0.0001695957,0.0002694526,0.00002827813,0.0001591601],"category_scores_gemma":[0.00002215335,0.00005530952,0.00002070734,0.0002440474,0.00003470435,0.0006996805,0.0001046986,0.00004440099,0.00001109873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004832773,"about_ca_system_score_gemma":0.00002698085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001415624,"about_ca_topic_score_gemma":0.00000195862,"domain_scores_codex":[0.9992898,0.00002527398,0.0001638989,0.0001795929,0.0002028917,0.0001385496],"domain_scores_gemma":[0.9996266,0.00002717737,0.00005242244,0.0001948962,0.00006119012,0.00003771556],"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":[0.000006953219,0.0003892828,0.001307413,0.0000563895,0.00001900758,0.0001585467,0.0003291249,0.04657276,0.7755598,0.07048051,0.0654183,0.03970192],"study_design_scores_gemma":[0.0000934196,0.000012002,0.00006473814,0.000007352774,0.000001585871,0.000007771367,0.000005471516,0.8662263,0.1326098,0.0008470138,0.00004892193,0.00007567078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009558047,0.00001432196,0.9908786,0.0002168146,0.00007957777,0.0001072489,2.8616e-7,0.0004504669,0.007296822],"genre_scores_gemma":[0.0160795,0.0000030637,0.9831576,0.0005001499,0.00004282096,0.000004018373,0.000002781189,0.000004936024,0.0002050796],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8196535,"threshold_uncertainty_score":0.2255457,"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."}}