{"id":"W3014648932","doi":"10.1088/1361-6560/ab86d3","title":"Melanoma detection using adversarial training and deep transfer learning","year":2020,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transfer of learning; Convolutional neural network; Deep learning; Classifier (UML); Leverage (statistics); Pattern recognition (psychology); Skin lesion; Contextual image classification; Visualization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00114757,0.0009724206,0.0005594923,0.000683678,0.0002276953,0.0005248291,0.001168221,0.0009588791,0.0014325],"category_scores_gemma":[0.002636106,0.0003333239,0.0006225835,0.0002904692,0.0006587546,0.0005833541,0.001095953,0.001459472,0.0004575191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007084777,"about_ca_system_score_gemma":0.0004798303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002161536,"about_ca_topic_score_gemma":0.002375047,"domain_scores_codex":[0.9995686,0.0001197236,0.00001868458,0.0001331828,0.00009708553,0.00006267816],"domain_scores_gemma":[0.999211,0.0004315312,0.0000883446,0.0001216999,0.0001047441,0.0000427176],"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":[0.0002190457,0.0001423754,0.00262406,0.00006803104,0.00007954704,0.0001809468,0.0000587849,0.8112071,0.01499472,0.003435927,0.003250057,0.1637394],"study_design_scores_gemma":[0.000002193292,0.00001739898,0.0001522388,0.00000266302,0.000002326931,0.00001901483,0.000002776364,0.9971227,0.001638429,0.0009094025,0.0001285057,0.000002319045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09203482,0.0005126685,0.902375,0.0004351778,0.0000760244,0.0001115149,0.0001713321,0.002150207,0.002133146],"genre_scores_gemma":[0.8773027,0.000187982,0.1183229,0.0003086235,0.00006026893,0.000120804,0.0004997973,0.0001103284,0.003086647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002161536,"threshold_uncertainty_score":0.006069005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1917215895786067,"score_gpt":0.3447852051825651,"score_spread":0.1530636156039584,"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."}}