{"id":"W2804047627","doi":"10.1109/tmi.2018.2837502","title":"Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2256,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"British Heart Foundation","keywords":"Artificial intelligence; Deep learning; Computer science; Segmentation; Task (project management); Machine learning; Fully automatic; Automation; Medical imaging; Magnetic resonance imaging; Pattern recognition (psychology); Image segmentation; Medicine; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259968876712274,"score_gpt":0.3087271626040086,"score_spread":0.2961274738368858,"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."}}