{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003216076,0.0002054679,0.0003850902,0.0001552432,0.00006582466,0.00001153436,0.0002057531,0.000182699,0.0007521586],"category_scores_gemma":[0.0002707408,0.0001657275,0.0001717542,0.00047946,0.0001245705,0.00007397854,0.0001181146,0.000583375,0.000004282291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002810972,"about_ca_system_score_gemma":0.0001016798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005205804,"about_ca_topic_score_gemma":0.0005140735,"domain_scores_codex":[0.9986094,0.00007988337,0.0004436956,0.0003421182,0.0002723301,0.0002525735],"domain_scores_gemma":[0.9988745,0.00008908997,0.0001683624,0.0002328999,0.000561882,0.00007323657],"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":[0.0002662864,0.000282189,0.006880258,0.0002996279,0.001529992,0.00003578814,0.007093654,0.2706636,0.6761233,0.001379272,0.001691435,0.0337546],"study_design_scores_gemma":[0.00337116,0.0003163655,0.00446833,0.001262819,0.0003127083,0.0004629928,0.004302163,0.8457147,0.02374895,0.0004774642,0.1149971,0.0005652084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.914153,0.0008304121,0.07481612,0.004001036,0.004402576,0.000305199,0.00001789901,0.00006373996,0.001410025],"genre_scores_gemma":[0.9917319,0.00313257,0.002046382,0.0003178997,0.000581958,0.00002555254,0.00004195984,0.0000240505,0.002097689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6523744,"threshold_uncertainty_score":0.823561,"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."}}