title: Identifying coronary stenosis using an image-recognition neural network.
authors.affiliation: Medical College of Ohio, USA.
authors.forename: L S
authors.initials: LS
authors.lastname: Goodenday
authors.forename: K J
authors.initials: KJ
authors.lastname: Cios
authors.forename: I
authors.initials: I
authors.lastname: Shin
mesh_terms: D000465:Algorithms; D003327:Coronary Disease / Q000000981:diagnostic imaging*; D005080:Exercise Test; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated; D011877:Radionuclide Imaging; D012160:Retina; D013794:Thallium Radioisotopes
chemical_list: D013794:Thallium Radioisotopes