{"id":"W2095135620","doi":"10.1117/12.844602","title":"Graph-based pigment network detection in skin images","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canadian Centre for Applied Research in Cancer Control; Simon Fraser University","funders":"","keywords":"Luminance; Computer science; Artificial intelligence; Graph; Polygon mesh; Image (mathematics); Pattern recognition (psychology); Graph theory; Computer vision; Mathematics; Combinatorics; Theoretical computer science; Computer graphics (images)","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":[0.0003037091,0.0004740479,0.0003298925,0.002856102,0.0002021408,0.0005214466,0.0003929506,0.0004977071,0.001328211],"category_scores_gemma":[0.001453328,0.0002520567,0.0003269291,0.0006515821,0.0002568641,0.0006594201,0.0003443195,0.0002698859,0.0006366455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002956142,"about_ca_system_score_gemma":0.0001627898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352474,"about_ca_topic_score_gemma":0.003820367,"domain_scores_codex":[0.9997417,0.00005964937,0.00001223227,0.00006424185,0.00009382177,0.0000283479],"domain_scores_gemma":[0.9994233,0.0002343696,0.00009151424,0.00007561039,0.0001449164,0.00003034928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006518541,0.0001079226,0.01447442,0.0004793865,0.0001734962,0.0007024331,0.0002046335,0.03461516,0.4410886,0.002300231,0.002772277,0.5024295],"study_design_scores_gemma":[0.00002571585,0.0001940798,0.02803707,0.00004518699,0.0001069921,0.002350014,0.0001684793,0.7303137,0.2293478,0.003570439,0.005775111,0.0000653816],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3283162,0.001174761,0.6617888,0.0001756768,0.0000647729,0.0001777412,0.0004647128,0.004599911,0.003237368],"genre_scores_gemma":[0.6451883,0.0008153738,0.3513303,0.00006831964,0.0000313991,0.00005035101,0.000449588,0.0002013785,0.001865023],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002856102,"threshold_uncertainty_score":0.004677594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006921451541754512,"score_gpt":0.2210415493969359,"score_spread":0.2141200978551814,"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."}}