AIMC Topic: Radiography
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Fully automatic cervical vertebrae segmentation framework for X-ray images.
Computer methods and programs in biomedicine
Jan 12, 2018
The cervical spine is a highly flexible anatomy and therefore vulnerable to injuries. Unfortunately, a large number of injuries in lateral cervical X-ray images remain undiagnosed due to human errors. Computer-aided injury detection has the potential...
Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs.
Radiology
Nov 2, 2017
Purpose To compare the performance of a deep-learning bone age assessment model based on hand radiographs with that of expert radiologists and that of existing automated models. Materials and Methods The institutional review board approved the study....
SiNC: Saliency-injected neural codes for representation and efficient retrieval of medical radiographs.
PloS one
Aug 3, 2017
Medical image collections contain a wealth of information which can assist radiologists and medical experts in diagnosis and disease detection for making well-informed decisions. However, this objective can only be realized if efficient access is pro...
Artificial intelligence for analyzing orthopedic trauma radiographs.
Acta orthopaedica
Jul 6, 2017
Background and purpose - Recent advances in artificial intelligence (deep learning) have shown remarkable performance in classifying non-medical images, and the technology is believed to be the next technological revolution. So far it has never been ...
A preliminary examination of the diagnostic value of deep learning in hip osteoarthritis.
PloS one
Jun 2, 2017
Hip Osteoarthritis (OA) is a common disease among the middle-aged and elderly people. Conventionally, hip OA is diagnosed by manually assessing X-ray images. This study took the hip joint as the object of observation and explored the diagnostic value...
Machine learning will transform radiology significantly within the next 5 years.
Medical physics
Apr 20, 2017
Deep learning for automated skeletal bone age assessment in X-ray images.
Medical image analysis
Oct 29, 2016
Skeletal bone age assessment is a common clinical practice to investigate endocrinology, genetic and growth disorders in children. It is generally performed by radiological examination of the left hand by using either the Greulich and Pyle (G&P) meth...
Transitive closure of subsumption and causal relations in a large ontology of radiological diagnosis.
Journal of biomedical informatics
Mar 19, 2016
The Radiology Gamuts Ontology (RGO)-an ontology of diseases, interventions, and imaging findings-was developed to aid in decision support, education, and translational research in diagnostic radiology. The ontology defines a subsumption (is_a) relati...
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