{"id":"W2963516899","doi":"10.1109/ssci.2017.8280804","title":"Skin lesion segmentation: U-Nets versus clustering","year":2017,"lang":"en","type":"article","venue":"","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Jaccard index; Preprocessor; Cluster analysis; Computer science; Segmentation; Histogram equalization; Artificial intelligence; Pattern recognition (psychology); Histogram; Image segmentation; Artificial neural network; Image (mathematics)","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":[0.001077497,0.0008869151,0.0008386081,0.0017074,0.0006249159,0.001609967,0.00140205,0.00162418,0.0020611],"category_scores_gemma":[0.002299815,0.0004132454,0.0006280363,0.001268327,0.0006585713,0.001464952,0.0007095727,0.0006479782,0.0006566037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319637,"about_ca_system_score_gemma":0.0008644686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01071814,"about_ca_topic_score_gemma":0.01065802,"domain_scores_codex":[0.9994925,0.0001002014,0.00004281579,0.0001644076,0.0001272256,0.00007276206],"domain_scores_gemma":[0.9992682,0.0002881084,0.0000881518,0.0000875081,0.0002186329,0.00004939433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000619477,0.0001674313,0.003568807,0.0002140135,0.0001427508,0.0001122389,0.0001283065,0.3478724,0.009830466,0.008803968,0.004436575,0.6241035],"study_design_scores_gemma":[0.000007980824,0.0000657534,0.0007364466,0.00002745577,0.0000180722,0.00005609407,0.00003796,0.987812,0.006031616,0.004032934,0.001159123,0.00001454718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08948206,0.002034746,0.8968181,0.000516543,0.0002192406,0.0002835836,0.0002562375,0.003076161,0.007313325],"genre_scores_gemma":[0.4862162,0.0009971835,0.5054505,0.0004949002,0.0001404459,0.0001657174,0.0005166832,0.0002765423,0.005741931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01071814,"threshold_uncertainty_score":0.02131152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.055856638788166,"score_gpt":0.3328769144062464,"score_spread":0.2770202756180805,"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."}}