{"id":"W3168283161","doi":"10.1016/j.media.2022.102624","title":"Towards annotation-efficient segmentation via image-to-image translation","year":2022,"lang":"en","type":"article","venue":"Medical Image Analysis","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Polytechnique Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Artificial intelligence; Translation (biology); Automatic image annotation; Image (mathematics); Computer vision; Computer science; Annotation; Image translation; Image segmentation; Segmentation; Pattern recognition (psychology); Image processing; Biology","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":[0.00184184,0.001793084,0.001993017,0.001448699,0.0006194846,0.002170858,0.002574769,0.003302426,0.003676329],"category_scores_gemma":[0.005525148,0.001332098,0.001843941,0.001592317,0.001811002,0.001632795,0.003947643,0.00312071,0.003927434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010057,"about_ca_system_score_gemma":0.001544128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003108151,"about_ca_topic_score_gemma":0.003739985,"domain_scores_codex":[0.9984366,0.0004902151,0.00007322146,0.0004995116,0.0003472918,0.0001531579],"domain_scores_gemma":[0.9974756,0.001303536,0.0002322081,0.0006094867,0.0002817919,0.00009731885],"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":[0.0006072649,0.0001540311,0.0006418992,0.0004128735,0.000189422,0.0003661503,0.0003674202,0.3940189,0.08606747,0.03538451,0.009401971,0.4723881],"study_design_scores_gemma":[0.00001298735,0.00003221745,0.000127328,0.00001561605,0.00001697355,0.0001054625,0.00001960411,0.9683388,0.01297143,0.01651341,0.001833918,0.00001230079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002762817,0.0001784579,0.9946418,0.0001520837,0.00004302375,0.00003159893,0.00006598236,0.001434323,0.0006899612],"genre_scores_gemma":[0.1896528,0.0006264534,0.7982492,0.0006398797,0.0002052148,0.000216186,0.001030186,0.001794052,0.007585934],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003676329,"threshold_uncertainty_score":0.01229852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095319566051169,"score_gpt":0.2675939164878378,"score_spread":0.2566407208273261,"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."}}