{"id":"W4200477224","doi":"10.1109/embc46164.2021.9629763","title":"Ocular Diseases Detection using Recent Deep Learning Techniques","year":2021,"lang":"en","type":"article","venue":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Deep learning; Computer science; Blindness; Fundus (uterus); Artificial intelligence; Disease; Machine learning; Medicine; Optometry; Ophthalmology; Pathology","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":[0.000808193,0.0012424,0.0006412263,0.001711212,0.0003332194,0.0008726502,0.0008352876,0.0007691819,0.001175318],"category_scores_gemma":[0.001802175,0.0003424269,0.000931489,0.001187384,0.0002774505,0.0008216407,0.0007167103,0.00105828,0.0005313146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009106424,"about_ca_system_score_gemma":0.0007841408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011028,"about_ca_topic_score_gemma":0.01557109,"domain_scores_codex":[0.9994536,0.00007902746,0.00004674022,0.0001295634,0.000206994,0.00008409213],"domain_scores_gemma":[0.9993506,0.0001619283,0.00008594727,0.00007684722,0.0002936372,0.00003103073],"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":[0.0002326915,0.000290449,0.01168033,0.0003065961,0.0004220773,0.0002212176,0.00004625643,0.1778959,0.01703737,0.001928119,0.00680733,0.7831317],"study_design_scores_gemma":[0.00001289841,0.00009665958,0.003890108,0.00004072341,0.00008535166,0.0001639459,0.00001595515,0.9788512,0.01237158,0.001628241,0.002823178,0.00002018379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2464039,0.01617699,0.722497,0.001641395,0.0004341204,0.0001516994,0.00191905,0.004062764,0.006713136],"genre_scores_gemma":[0.8091387,0.005026459,0.1751243,0.0006491375,0.0002160688,0.0001060565,0.003181292,0.0001147202,0.006443298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.011028,"threshold_uncertainty_score":0.0219276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466534288842317,"score_gpt":0.3285425136023275,"score_spread":0.2938771707139043,"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."}}