{"id":"W4413177760","doi":"10.18280/ts.420440","title":"Dermoscopic Image Classification for Skin Cancer Diagnosis Using Deep Learning and Cuckoo Search With 3D Shearlet","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shearlet; Cuckoo search; Artificial intelligence; Cuckoo; Computer science; Pattern recognition (psychology); Deep learning; Image (mathematics); Computer vision; Machine learning; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000451142,0.0006039664,0.0006292729,0.001849201,0.0002597314,0.0006041408,0.0006416583,0.0007575008,0.001594916],"category_scores_gemma":[0.0008089623,0.0002667646,0.0007296886,0.000812004,0.0002145931,0.0006105548,0.0005133215,0.0005035746,0.000765541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006298769,"about_ca_system_score_gemma":0.00049696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004577111,"about_ca_topic_score_gemma":0.005338542,"domain_scores_codex":[0.9997625,0.00002519626,0.00001776831,0.0000593441,0.00009672643,0.0000384354],"domain_scores_gemma":[0.9997498,0.00005835504,0.00003288079,0.00003357587,0.0001009303,0.00002442741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006736638,0.0003144731,0.008902214,0.0001412086,0.0001110915,0.000355412,0.0001126009,0.0645486,0.1078062,0.001489661,0.005183826,0.8103611],"study_design_scores_gemma":[0.000009302723,0.00007151387,0.003234003,0.000009793649,0.00001844221,0.0001568438,0.00002527397,0.9764959,0.01874924,0.0004723723,0.0007456365,0.0000117052],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2594385,0.0008705409,0.7317262,0.0005298652,0.0001332125,0.0001940578,0.0005528797,0.0036669,0.002887878],"genre_scores_gemma":[0.7151251,0.0006475238,0.2778102,0.0002719723,0.00006545499,0.0001107694,0.001520494,0.00009263791,0.004355816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004577111,"threshold_uncertainty_score":0.009100914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469656202800298,"score_gpt":0.3151897049836653,"score_spread":0.2904931429556623,"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."}}