{"id":"W4394596939","doi":"10.1109/csce60160.2023.00045","title":"Visual Memory Transfer for Imbalanced Medical Image Classification","year":2023,"lang":"en","type":"article","venue":"","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Contextual image classification; Image (mathematics); Transfer (computing); Pattern recognition (psychology); Parallel computing","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":[0.0009596769,0.0008430555,0.0007082283,0.001105196,0.0003310816,0.0009101353,0.001264197,0.0006722619,0.002562923],"category_scores_gemma":[0.00324621,0.0001613235,0.0004925233,0.0009218722,0.0005735125,0.001529175,0.001490105,0.0008723609,0.0006600724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005575888,"about_ca_system_score_gemma":0.0004967715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001315444,"about_ca_topic_score_gemma":0.001264728,"domain_scores_codex":[0.9996468,0.00005902174,0.00002378335,0.000107777,0.00009599709,0.0000665771],"domain_scores_gemma":[0.9991811,0.0002884335,0.0001354665,0.0001904665,0.0001409818,0.00006348273],"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":[0.0007580256,0.0003136565,0.004669579,0.0001952547,0.0001268486,0.0001484442,0.0001492733,0.07030207,0.02650808,0.003725612,0.007960941,0.8851423],"study_design_scores_gemma":[0.00005121362,0.0003812543,0.002715844,0.00003129602,0.00005804055,0.0002559707,0.00008412857,0.9429507,0.03266433,0.01773382,0.003050429,0.0000230273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2563378,0.003397463,0.7292709,0.001089477,0.000355044,0.0001834037,0.0007405308,0.004751964,0.003873424],"genre_scores_gemma":[0.949334,0.0004498119,0.04657314,0.0002776505,0.0002024718,0.00009588951,0.0007485773,0.00009983548,0.002218624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002562923,"threshold_uncertainty_score":0.008573771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05823937436086768,"score_gpt":0.3370741722640449,"score_spread":0.2788347979031772,"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."}}