{"id":"W4226316964","doi":"10.1109/icears53579.2022.9751826","title":"Skin Cancer Detection using Deep Learning","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Electronics and Renewable Systems (ICEARS)","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Deep learning; Cancer detection; Artificial intelligence; Cancer; Medicine","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":[0.0001988507,0.0004629276,0.0003338665,0.001184235,0.0001639524,0.0004776134,0.0004131832,0.0004251733,0.001632801],"category_scores_gemma":[0.0004479041,0.0001978279,0.0005232897,0.000403232,0.0001157636,0.0004389546,0.00042112,0.0004530475,0.0006610955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004411844,"about_ca_system_score_gemma":0.0003181554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005077546,"about_ca_topic_score_gemma":0.00868482,"domain_scores_codex":[0.9998387,0.00001840064,0.000008138678,0.00004355903,0.00005340177,0.00003781022],"domain_scores_gemma":[0.9998785,0.00002648742,0.00002016177,0.00001295037,0.00005024857,0.0000115356],"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":[0.0002638125,0.0003131901,0.02190246,0.0003330205,0.0001671198,0.0004175559,0.00005377026,0.06253216,0.04646995,0.001868176,0.01391945,0.8517593],"study_design_scores_gemma":[0.00001328306,0.000139459,0.01164729,0.0000824673,0.00005815922,0.0005765131,0.00005279301,0.9526236,0.02494857,0.002877347,0.006956971,0.00002362827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3494241,0.01102728,0.6116086,0.00132041,0.0004055937,0.0003064644,0.002765855,0.005307425,0.01783441],"genre_scores_gemma":[0.9083551,0.002468225,0.077117,0.0004222799,0.00009819392,0.0000787193,0.00233142,0.00007557427,0.009053349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005077546,"threshold_uncertainty_score":0.01009595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251507825752905,"score_gpt":0.2760025764978946,"score_spread":0.2534874982403655,"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."}}