{"id":"W4229452393","doi":"10.18280/ts.390206","title":"Automated COVID-19 Detection from WBC-DIFF Scattergram Images with Hybrid CNN Model Using Feature Selection","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pattern recognition (psychology); Artificial intelligence; Support vector machine; Feature extraction; HSL and HSV; Feature selection; Convolutional neural network; Coronavirus disease 2019 (COVID-19); Computer science; White blood cell; Feature (linguistics); Mathematics; Medicine; Pathology; Immunology","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":[0.000318086,0.0008849757,0.0006144485,0.0006613208,0.0001852793,0.0004725785,0.000748556,0.0004587552,0.0009071757],"category_scores_gemma":[0.0004538675,0.0002964671,0.000707069,0.0004548968,0.000159587,0.0004926512,0.0004540319,0.0003997097,0.0003708641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000665382,"about_ca_system_score_gemma":0.0005435038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01004819,"about_ca_topic_score_gemma":0.009339032,"domain_scores_codex":[0.9998376,0.00001448995,0.000008056832,0.00005111903,0.00004337771,0.00004526727],"domain_scores_gemma":[0.9998763,0.00002676903,0.00001727796,0.00001216586,0.00005616718,0.00001139168],"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":[0.0006215903,0.0003872314,0.02094239,0.0001345954,0.0003027122,0.0004770564,0.0001023006,0.2518754,0.06281908,0.0009740519,0.007015198,0.6543485],"study_design_scores_gemma":[0.000005591973,0.00005295886,0.00228266,0.00000641436,0.00002254386,0.00005679441,0.00001113425,0.9917741,0.005150264,0.0002131287,0.0004167679,0.000007665761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4320218,0.001523828,0.5563065,0.0004914294,0.0002085291,0.0002212709,0.0010999,0.003813526,0.004313213],"genre_scores_gemma":[0.9153851,0.0005506456,0.07609313,0.0001935602,0.00005436225,0.0001621738,0.001934638,0.00006369425,0.005562754],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01004819,"threshold_uncertainty_score":0.01997942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02624452143911348,"score_gpt":0.2984612472924261,"score_spread":0.2722167258533126,"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."}}