Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks

Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks

Abstract Background In oncology, the correct determination of nodal metastatic disease is essential for patient management, as patient treatment and prognosis are closely linked to the stage of the disease. The aim of the study was to develop a tool for automatic 3D detection and segmentation of lym...

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Bibliographic Details
Main Authors: Andra-Iza Iuga, Heike Carolus, Anna J. Höink, Tom Brosch, Tobias Klinder, David Maintz, Thorsten Persigehl, Bettina Baeßler, Michael Püsken
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Medical Imaging
Subjects:
Deep learning
Artificial intelligence
Lymph nodes
Computed tomography
Staging
Online Access:https://doi.org/10.1186/s12880-021-00599-z

Internet

https://doi.org/10.1186/s12880-021-00599-z

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