Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility

OBJECTIVE: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images. MATERIALS AND METHODS: This study included 1079 patients (median age, 55 years; men, 718)...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Korean J Radiol
Main Authors: Zhou, Qing-Qing, Wang, Jiashuo, Tang, Wen, Hu, Zhang-Chun, Xia, Zi-Yi, Li, Xue-Song, Zhang, Rongguo, Yin, Xindao, Zhang, Bing, Zhang, Hong
Formato: Artigo
Idioma:Inglês
Publicado em: The Korean Society of Radiology 2020
Assuntos:
Thoracic Imaging
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7289688/
https://ncbi.nlm.nih.gov/pubmed/32524787
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3348/kjr.2019.0651
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados