Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network

Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network

Abstract Background In the management of cancer patients, determination of TNM status is essential for treatment decision-making and therefore closely linked to clinical outcome and survival. Here, we developed a tool for automatic three-dimensional (3D) localization and segmentation of cervical lym...

Full description

Bibliographic Details
Main Authors: Miriam Rinneburger, Heike Carolus, Andra-Iza Iuga, Mathilda Weisthoff, Simon Lennartz, Nils Große Hokamp, Liliana Caldeira, Rahil Shahzad, David Maintz, Fabian Christopher Laqua, Bettina Baeßler, Tobias Klinder, Thorsten Persigehl
Format: Article
Language:English
Published: SpringerOpen 2023-07-01
Series:European Radiology Experimental
Subjects:
Artificial intelligence
Deep learning
Lymph nodes
Neoplasm staging
Tomography (x-ray computed)
Online Access:https://doi.org/10.1186/s41747-023-00360-x

Internet

https://doi.org/10.1186/s41747-023-00360-x

Similar Items