{"id":"W3180552095","doi":"10.3390/a14070212","title":"Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?","year":2021,"lang":"en","type":"article","venue":"Algorithms","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ground truth; Deep learning; Segmentation; Hausdorff distance; Artificial neural network; Generalization; Data set; Interpretability","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":[0.008065809,0.001231009,0.001804533,0.0008223116,0.0006139296,0.002276768,0.001924344,0.003529516,0.004540418],"category_scores_gemma":[0.03014513,0.0007486495,0.0005363178,0.0008257976,0.002179815,0.0105031,0.002092405,0.003693511,0.002488588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009384343,"about_ca_system_score_gemma":0.001160128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002210794,"about_ca_topic_score_gemma":0.004130293,"domain_scores_codex":[0.996528,0.001390183,0.0001782366,0.0008784377,0.0007455872,0.000279709],"domain_scores_gemma":[0.9862698,0.007884561,0.0009324291,0.001901372,0.002057495,0.0009543244],"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":[0.001983171,0.0005575981,0.02243072,0.001568957,0.0003873923,0.0005420924,0.001323128,0.08875073,0.02449756,0.04786828,0.05906588,0.7510245],"study_design_scores_gemma":[0.000182172,0.0007434587,0.01058382,0.001396164,0.0001954948,0.001086013,0.001576312,0.6341094,0.03170537,0.2672654,0.05095492,0.0002015583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1225866,0.01460797,0.8071359,0.03660233,0.001085187,0.0001688044,0.0009667601,0.00314741,0.01369901],"genre_scores_gemma":[0.6834236,0.005574797,0.2904337,0.0109182,0.0008572636,0.000148773,0.001219027,0.0008988382,0.006525856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008065809,"threshold_uncertainty_score":0.04265654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184151105983421,"score_gpt":0.2759254271493967,"score_spread":0.2640839160895625,"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."}}