{"id":"W4388096741","doi":"10.18280/ts.400545","title":"ESP-UNet: Encoder-Decoder Convolutional Neural Network with Edge-Enhanced Features for Liver Segmentation","year":2023,"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":"Princess Nourah Bint Abdulrahman University","keywords":"Segmentation; Computer science; Artificial intelligence; Jaccard index; Encoder; Pattern recognition (psychology); Convolutional neural network; Sørensen–Dice coefficient; Dice; Image segmentation; Computer vision; Mathematics; Statistics","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":[0.0005057112,0.0008218333,0.0005194284,0.0005087531,0.0002361309,0.0004397174,0.001206392,0.000850227,0.001463938],"category_scores_gemma":[0.001429269,0.0003421274,0.0005086651,0.0005076174,0.0003076052,0.0007692068,0.0007600837,0.0008917944,0.0004660308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006994975,"about_ca_system_score_gemma":0.00112405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01239485,"about_ca_topic_score_gemma":0.01943553,"domain_scores_codex":[0.9998088,0.00002440712,0.00001289923,0.00005305454,0.00006285301,0.00003802025],"domain_scores_gemma":[0.9997379,0.00008627159,0.00002593472,0.00003841276,0.00009416734,0.00001723113],"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":[0.0004379241,0.0002062818,0.003179741,0.00016402,0.0001746442,0.0003885881,0.00006017001,0.4294912,0.03350529,0.003508694,0.009274483,0.519609],"study_design_scores_gemma":[0.00001192765,0.00005666659,0.0003843654,0.000007213148,0.00001694795,0.00007485977,0.000004153607,0.9918427,0.006023508,0.0007465238,0.0008228233,0.000008224667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09757968,0.00185052,0.8877069,0.0004629283,0.0002150646,0.0001465592,0.0008076816,0.006597832,0.004632994],"genre_scores_gemma":[0.6643087,0.0008291319,0.3203768,0.0005648923,0.00007763643,0.0001726684,0.002960085,0.0002669417,0.01044329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01239485,"threshold_uncertainty_score":0.02464539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336446293681,"score_gpt":0.3041995324616716,"score_spread":0.2708350695248616,"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."}}