Feasibility of Bone Mineral Density and Bone Microarchitecture Assessment Using Deep Learning With a Convolutional Neural Network

We evaluated the feasibility of using deep learning with a convolutional neural network for predicting bone mineral density (BMD) and bone microarchitecture from conventional computed tomography (CT) images acquired by multivendor scanners. METHODS: We enrolled 402 patients who underwent noncontrast...

Descripción completa

Detalles Bibliográficos
Autores principales: Yoshida, Kazuki, Tanabe, Yuki, Nishiyama, Hikaru, Matsuda, Takuya, Toritani, Hidetaka, Kitamura, Takuya, Sakai, Shinichiro, Watamori, Kunihiko, Takao, Masaki, Kimura, Eizen, Kido, Teruhito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Musculoskeletal Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184800/
https://www.ncbi.nlm.nih.gov/pubmed/37185012
http://dx.doi.org/10.1097/RCT.0000000000001437

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184800/
https://www.ncbi.nlm.nih.gov/pubmed/37185012
http://dx.doi.org/10.1097/RCT.0000000000001437

Ejemplares similares