{"id":"W3216760285","doi":"10.18280/ts.380507","title":"Diagnosis of Melanoma Lesion Using Neutrosophic and Deep Learning","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Deep learning; Artificial intelligence; Computer science; Melanoma; Skin lesion; Segmentation; Skin cancer; Pattern recognition (psychology); Medicine; Cancer; Dermatology; Cancer research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001142169,0.00009996619,0.000204271,0.00008642066,0.00007779412,0.00001616289,0.00002379009,0.00004000903,0.000914879],"category_scores_gemma":[0.00002110944,0.00009628358,0.00006480611,0.0001266289,0.00003288223,0.0000346339,0.00004804322,0.0001006614,0.000004923012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003823859,"about_ca_system_score_gemma":0.00002187753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002021343,"about_ca_topic_score_gemma":0.000009539993,"domain_scores_codex":[0.9991874,0.00005077789,0.0002233723,0.0001961921,0.0002044426,0.0001377865],"domain_scores_gemma":[0.9996466,0.00004375218,0.0000724309,0.00008944812,0.00006515091,0.00008259534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005195027,0.0008723843,0.1600973,0.0008923067,0.0004578634,0.001448773,0.001199185,0.00147861,0.5701208,0.001437931,0.0001658831,0.2613094],"study_design_scores_gemma":[0.01339999,0.004063463,0.4456003,0.001297066,0.002099655,0.003588881,0.004495555,0.06352449,0.3923202,0.0004595044,0.06803499,0.001115856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99651,0.0007718988,0.001199746,0.0003738283,0.00007600534,0.0001749873,0.000001164289,0.00003458357,0.0008578405],"genre_scores_gemma":[0.9983202,0.0002708627,0.00085035,0.0001833672,0.0001007667,0.00001041142,0.000009227652,0.0000139535,0.000240826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.285503,"threshold_uncertainty_score":0.9999984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02986255963706404,"score_gpt":0.262766319870454,"score_spread":0.23290376023339,"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."}}