Segmentation of Lung Lesions through Bilateral Learning Branches to Aggregating Contextual and Local Characteristics

Segmentation of Lung Lesions through Bilateral Learning Branches to Aggregating Contextual and Local Characteristics

Abstract Detecting and analyzing lung lesion regions using artificial intelligence is of great significance in the medical diagnosis of lung CT images, which can substantially improve the efficiency of doctors. However, segmentation of the inflammatory region in the CT image of the lung remains chal...

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Bibliographic Details
Main Authors: Hao Niu, Linjing Li, Bo Yuan, Min Zhu, Xiuyuan Xu, Xi Lu, Fengming Luo, Zhang Yi
Format: Article
Language:English
Published: Springer 2024-02-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Lung lesion segmentation
Contextual and local characteristics
Bilateral learning
Online Access:https://doi.org/10.1007/s44196-023-00401-8

Internet

https://doi.org/10.1007/s44196-023-00401-8

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