{"id":"W4328054405","doi":"10.18280/ts.400108","title":"Optimal Machine Learning Based Automated Malaria Parasite Detection and Classification Model Using Blood Smear Images","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blood smear; Malaria; Artificial intelligence; Computer science; Parasite hosting; Machine learning; Pattern recognition (psychology); Medicine; 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":[0.0004885419,0.0003813473,0.0005973023,0.0005338959,0.0002330625,0.0006477612,0.000640392,0.0006265309,0.0008062687],"category_scores_gemma":[0.0008925276,0.0001931553,0.0005450722,0.0003214712,0.0002342606,0.0003899275,0.0002366014,0.0005084678,0.000248794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006670824,"about_ca_system_score_gemma":0.000696581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007054757,"about_ca_topic_score_gemma":0.004280017,"domain_scores_codex":[0.9997793,0.00004280255,0.00001361018,0.00006978605,0.00005595313,0.0000386001],"domain_scores_gemma":[0.9996668,0.0001538131,0.00004213233,0.00001580372,0.0001088535,0.00001259454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002221597,0.0001470921,0.003855909,0.00009954981,0.00004843547,0.0001383732,0.00007259427,0.8083902,0.008733578,0.001799815,0.001467685,0.1750245],"study_design_scores_gemma":[0.000001836426,0.00002274857,0.0003334396,0.000002544808,0.00000387107,0.00001153805,0.000003422625,0.9987147,0.0006252222,0.0001751659,0.0001033153,0.000002269811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2013441,0.001192385,0.7912472,0.0006306912,0.00008775688,0.0001353525,0.0002476398,0.001036882,0.004077952],"genre_scores_gemma":[0.9037563,0.0004496538,0.09143666,0.0001118743,0.00003890841,0.0001618067,0.0002937775,0.00002083456,0.003730299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007054757,"threshold_uncertainty_score":0.01402736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0300451666201189,"score_gpt":0.2647648996029194,"score_spread":0.2347197329828005,"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."}}