Convolutional neural networks for automated fracture detection and localization on wrist radiographs
YL Thian, Y Li, P Jagmohan, D Sia… - Radiology: Artificial …, 2019 - pubs.rsna.org
Purpose To demonstrate the feasibility and performance of an object detection convolutional
neural network (CNN) for fracture detection and localization on wrist radiographs. Materials
and Methods Institutional review board approval was obtained with waiver of consent for this
retrospective study. A total of 7356 wrist radiographic studies were extracted from a hospital
picture archiving and communication system. Radiologists annotated all radius and ulna
fractures with bounding boxes. The dataset was split into training (90%) and validation …
neural network (CNN) for fracture detection and localization on wrist radiographs. Materials
and Methods Institutional review board approval was obtained with waiver of consent for this
retrospective study. A total of 7356 wrist radiographic studies were extracted from a hospital
picture archiving and communication system. Radiologists annotated all radius and ulna
fractures with bounding boxes. The dataset was split into training (90%) and validation …
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