Automatic Segmentation for Favourable Delineation of Ten Wrist Bones on Wrist Radiographs Using Convolutional Neural Network

Purpose: This study aimed to develop and validate an automatic segmentation algorithm for the boundary delineation of ten wrist bones, consisting of eight carpal and two distal forearm bones, using a convolutional neural network (CNN). Methods: We performed a retrospective study using adult wrist ra...

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Detalles Bibliográficos
Autores principales: Kang, Bo-kyeong, Han, Yelin, Oh, Jaehoon, Lim, Jongwoo, Ryu, Jongbin, Yoon, Myeong Seong, Lee, Juncheol, Ryu, Soorack
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147335/
https://www.ncbi.nlm.nih.gov/pubmed/35629198
http://dx.doi.org/10.3390/jpm12050776

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147335/
https://www.ncbi.nlm.nih.gov/pubmed/35629198
http://dx.doi.org/10.3390/jpm12050776

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