Le Nguyen Binh, Nguyen Thanh Nhu, Vu Pham Thao Vy, Do Le Hoang Son, Truong Nguyen Khanh Hung, Nguyen Bach, Hoang Quoc Huy, Le Van Tuan, Nguyen Quoc Khanh Le, Jiunn-Horng Kang
Common pediatric distal forearm fractures necessitate precise detection. To support prompt treatment planning by clinicians, our study aimed to create a multi-class convolutional neural network (CNN) model for pediatric distal forearm fractures, guided by the AO Foundation/Orthopaedic Trauma Association (AO/ATO) classification system for pediatric fractures. The GRAZPEDWRI-DX dataset (2008-2018) of wrist X-ray images was used. We labeled images into four fracture classes (FRM, FUM, FRE, and FUE with F, fracture; R, radius; U, ulna; M, metaphysis; and E, epiphysis) based on the pediatric AO/ATO classification...
February 2, 2024: J Imaging Inform Med