{"id":"W4404357198","doi":"10.18280/ts.410514","title":"VirLesDetNet: Pre-Trained Hybrid Deep Learning Approaches for Virus-Based Skin Lesion Detection","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deep learning; Artificial intelligence; Skin lesion; Computer science; Lesion; Pattern recognition (psychology); Machine learning; Medicine; Dermatology; Pathology","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":[0.000721765,0.001756912,0.0007274204,0.001108032,0.0002850911,0.0006208926,0.001762499,0.0009983729,0.001676706],"category_scores_gemma":[0.0009023061,0.0004562265,0.0007885371,0.0005389903,0.0002452362,0.0008991752,0.001001292,0.001428306,0.0009066448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008854964,"about_ca_system_score_gemma":0.0009332471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01054587,"about_ca_topic_score_gemma":0.01686127,"domain_scores_codex":[0.9997118,0.00004642069,0.00001546346,0.0001011737,0.00006786602,0.00005727551],"domain_scores_gemma":[0.9997855,0.00005817781,0.00002047188,0.00002986355,0.0000836424,0.00002234836],"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":[0.0005849418,0.0007124221,0.008535737,0.0002414283,0.000514979,0.0002733232,0.00009451151,0.3328482,0.01836125,0.002026092,0.02912508,0.606682],"study_design_scores_gemma":[0.000015131,0.0001050868,0.00057769,0.00001818818,0.00003184746,0.00004643652,0.00001298186,0.9914531,0.004972497,0.0009815926,0.001773355,0.00001219651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2600796,0.006688092,0.6961079,0.0009308056,0.0006354338,0.0003735017,0.004000229,0.02223573,0.008948701],"genre_scores_gemma":[0.7763458,0.001178234,0.197552,0.0008380511,0.0001604758,0.0003259193,0.009391821,0.0003641868,0.01384354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01054587,"threshold_uncertainty_score":0.02096897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0301255575620623,"score_gpt":0.2614789089783962,"score_spread":0.2313533514163339,"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."}}