{"id":"W4245231620","doi":"10.32920/ryerson.14655537","title":"A computer-aided diagnosis system for lung nodule detection in pulmonary CT images based on LS-SVM and wavelet transformation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer-aided diagnosis; CAD; Computer science; Segmentation; Artificial intelligence; Wavelet; Support vector machine; Transformation (genetics); Filter (signal processing); Computer vision; Pattern recognition (psychology); Region of interest; Task (project management); Image processing; Image (mathematics); Engineering; Engineering drawing","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":[0.0005202643,0.0004181975,0.0007961608,0.0008563518,0.000302011,0.0004270149,0.0007110352,0.0007360195,0.003219649],"category_scores_gemma":[0.0007356447,0.0002379019,0.0003893759,0.0006161788,0.0001323279,0.0005186949,0.0003271785,0.0004942217,0.001320106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003190874,"about_ca_system_score_gemma":0.0005182884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001672645,"about_ca_topic_score_gemma":0.001574037,"domain_scores_codex":[0.9997185,0.00003627493,0.00002826002,0.00006959485,0.0001187539,0.0000286623],"domain_scores_gemma":[0.9997184,0.00005794141,0.0000233299,0.00002162541,0.0001583173,0.00002045513],"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":[0.00050804,0.0003360027,0.003205287,0.0003874213,0.00009929213,0.0003711272,0.00008354771,0.01554398,0.1345714,0.001479261,0.008699647,0.8347151],"study_design_scores_gemma":[0.0001258358,0.0005761604,0.007405084,0.00003417343,0.0001059943,0.0008971516,0.00004096644,0.915292,0.06351435,0.0006851719,0.01126654,0.00005665636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03844149,0.0005066167,0.9472899,0.0001701838,0.0001403108,0.0003509097,0.0003621635,0.01083743,0.001901087],"genre_scores_gemma":[0.39753,0.0006377083,0.592909,0.0001972335,0.00008385751,0.0005748257,0.00139307,0.0001240253,0.00655031],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003219649,"threshold_uncertainty_score":0.01077074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009220084394289337,"score_gpt":0.2662858504630631,"score_spread":0.2570657660687737,"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."}}