Detection of Incidental Esophageal Cancers on Chest CT by Deep Learning

Detection of Incidental Esophageal Cancers on Chest CT by Deep Learning

ObjectiveTo develop a deep learning-based model using esophageal thickness to detect esophageal cancer from unenhanced chest CT images.MethodsWe retrospectively identified 141 patients with esophageal cancer and 273 patients negative for esophageal cancer (at the time of imaging) for model training....

Full description

Bibliographic Details
Main Authors: He Sui, Ruhang Ma, Lin Liu, Yaozong Gao, Wenhai Zhang, Zhanhao Mo
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Oncology
Subjects:
deep learning
convolutional neural network
chest CT
esophageal cancer
v-net
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.700210/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.700210/full

Similar Items