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

Kazuki Yoshida,Yuki Tanabe,Hikaru Nishiyama,Takuya Matsuda,Hidetaka Toritani, Takuya Kitamura,Shinichiro Sakai,Kunihiko Watamori,Masaki Takao, Eizen Kimura,Teruhito Kido

Journal of computer assisted tomography（2023）

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摘要

The BMDDL and TBSDL derived from conventional CT images could identify patients who should undergo DXA, which could be a gatekeeper tool for detecting latent osteoporosis/osteopenia or bone microarchitecture impairment.

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关键词

convolutional neural network, deep learning, osteoporosis, bone mineral density, computed tomography

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