{"id":"W2134484996","doi":"10.1016/j.compmedimag.2010.07.002","title":"A novel method for detection of pigment network in dermoscopic images using graphs","year":2010,"lang":"en","type":"article","venue":"Computerized Medical Imaging and Graphics","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Vancouver Coastal Health Research Institute; Vancouver Coastal Health; Simon Fraser University; BC Cancer Agency","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology); Graph; Binary image; Image (mathematics); Computer vision; Image processing; Combinatorics; Mathematics; Theoretical computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006175999,0.0001270442,0.0003186808,0.0002376571,0.00007409099,0.00001823035,0.00006123957,0.00008614878,0.000008230828],"category_scores_gemma":[0.0001222541,0.0001148133,0.0000883789,0.0002992144,0.0001353274,0.00003146221,0.00006504757,0.0003059287,1.107127e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001127366,"about_ca_system_score_gemma":0.00004586154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001087677,"about_ca_topic_score_gemma":0.00005050355,"domain_scores_codex":[0.9989397,0.00003224859,0.0003204252,0.000250539,0.0002286341,0.0002284729],"domain_scores_gemma":[0.9993441,0.0001655753,0.00008890838,0.0001590571,0.00006908835,0.000173255],"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":[0.0002854672,0.0002867321,0.003912063,0.0004873642,0.00009625704,0.00005956439,0.000127189,0.00001872915,0.6936137,0.001833027,0.0001237174,0.2991562],"study_design_scores_gemma":[0.009882887,0.0003063313,0.01626409,0.000700903,0.0002696863,0.002252919,0.00009042346,0.9459644,0.01143089,0.004695332,0.007784986,0.0003571734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2141313,0.000162333,0.7838845,0.0006146575,0.0007864069,0.0003529265,0.000001724565,0.00004256432,0.00002370345],"genre_scores_gemma":[0.7477149,0.0001099923,0.2508999,0.000996695,0.0002170822,0.00002382166,0.00000552438,0.00001980426,0.00001225602],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9459457,"threshold_uncertainty_score":0.468195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598513126928786,"score_gpt":0.3076820629127886,"score_spread":0.2916969316435007,"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."}}