{"id":"W4200096679","doi":"10.1109/embc46164.2021.9631047","title":"Melanoma Skin Cancer Detection Using Recent Deep Learning Models","year":2021,"lang":"en","type":"article","venue":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"HORIZON EUROPE Health","keywords":"Deep learning; Skin cancer; Convolutional neural network; Melanoma; Cancer; Artificial neural network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005405662,0.0007538749,0.0004375369,0.001353783,0.000192956,0.0006388364,0.0006574803,0.0005066258,0.0008584559],"category_scores_gemma":[0.001061895,0.0002441676,0.0006310855,0.0006276213,0.0001637905,0.0005655087,0.000506555,0.000566425,0.0004874509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006776177,"about_ca_system_score_gemma":0.0004174592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008544508,"about_ca_topic_score_gemma":0.013844,"domain_scores_codex":[0.9996619,0.00004311366,0.00002387611,0.00008813221,0.0001338554,0.00004911831],"domain_scores_gemma":[0.9996042,0.00008407448,0.00005995264,0.00003824621,0.0001914889,0.00002213825],"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":[0.0003458729,0.0004482798,0.02199616,0.0003209549,0.0003485869,0.0003427565,0.00006132845,0.2373279,0.02507545,0.001306056,0.009793676,0.7026329],"study_design_scores_gemma":[0.000007096292,0.00009310467,0.005493451,0.00003423154,0.00005498894,0.0001757799,0.00001753892,0.981796,0.008676237,0.0007961383,0.002842666,0.00001280115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.473049,0.01975165,0.4848101,0.001403926,0.0005598161,0.0002056302,0.002445331,0.003960593,0.01381405],"genre_scores_gemma":[0.9168106,0.003271287,0.06851471,0.0003487217,0.0001454329,0.00005862843,0.003133196,0.00006803677,0.007649329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008544508,"threshold_uncertainty_score":0.01698953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05956782937137928,"score_gpt":0.3134049907422015,"score_spread":0.2538371613708222,"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."}}