title: Canine bone shape analysis by use of a radiographic image-classification system.
abstract: A radiographic image-classification system was developed to analyze and compare the shape of the humerus of neonatal Labrador Retriever and Labrador Retriever x Beagle pups that were either phenotypically normal or affected with an ocular-skeletal dysplasia syndrome. The system consistently defined the shape of the humerus within the groups of pups studied and indicated a difference in the shape of the humerus between normal and affected pups. Results indicated that the radiographic image-classification system may be able to identify Labrador Retriever pups affected by the ocular-skeletal dysplasia syndrome at or shortly after birth.
authors.affiliation: Department of Electrical Engineering, Virginia-Maryland Regional College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Blacksburg 24061.
authors.forename: D
authors.initials: D
authors.lastname: Zhu
authors.forename: C B
authors.initials: CB
authors.lastname: Carrig
authors.forename: R W
authors.initials: RW
authors.lastname: Conners
authors.forename: W S
authors.initials: WS
authors.lastname: Swecker
mesh_terms: D000818:Animals; D000831:Animals, Newborn / Q000002:abnormalities / Q000033:anatomy & histology*; D004285:Dogs / Q000002:abnormalities / Q000033:anatomy & histology*; D006811:Humerus / Q000002:abnormalities / Q000000981:diagnostic imaging*; D007091:Image Processing, Computer-Assisted; D011859:Radiography