Anterior Mediastinal Lesion Segmentation Based on Two-Stage 3D ResUNet With Attention Gates and Lung Segmentation

Anterior Mediastinal Lesion Segmentation Based on Two-Stage 3D ResUNet With Attention Gates and Lung Segmentation

ObjectivesAnterior mediastinal disease is a common disease in the chest. Computed tomography (CT), as an important imaging technology, is widely used in the diagnosis of mediastinal diseases. Doctors find it difficult to distinguish lesions in CT images because of image artifact, intensity inhomogen...

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Bibliographic Details
Main Authors: Su Huang, Xiaowei Han, Jingfan Fan, Jing Chen, Lei Du, Wenwen Gao, Bing Liu, Yue Chen, Xiuxiu Liu, Yige Wang, Danni Ai, Guolin Ma, Jian Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Oncology
Subjects:
anterior mediastinal lesion segmentation
deep learning
two-stage 3D ResUNet
attention gates
lung segmentation model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.618357/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2020.618357/full

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