Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor

Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor

Abstract Background In nasal or sinonasal tumors, orbital invasion beyond periorbita by the tumor is one of the important criteria in the selection of the surgical procedure. We investigated the usefulness of the convolutional neural network (CNN)-based deep learning technique for the diagnosis of o...

Full description

Bibliographic Details
Main Authors: Junichi Nakagawa, Noriyuki Fujima, Kenji Hirata, Minghui Tang, Satonori Tsuneta, Jun Suzuki, Taisuke Harada, Yohei Ikebe, Akihiro Homma, Satoshi Kano, Kazuyuki Minowa, Kohsuke Kudo
Format: Article
Language:English
Published: BMC 2022-09-01
Series:Cancer Imaging
Subjects:
Head and neck
Nasal or sinonasal tumor
Orbital invasion
Periorbita
Deep learning
Transfer learning
Online Access:https://doi.org/10.1186/s40644-022-00492-0

Internet

https://doi.org/10.1186/s40644-022-00492-0

Similar Items