R<sup>2</sup>U3D: Recurrent Residual 3D U-Net for Lung Segmentation

R<sup>2</sup>U3D: Recurrent Residual 3D U-Net for Lung Segmentation

3D Lung segmentation is essential since it processes the volumetric information of the lungs, removes the unnecessary areas of the scan, and segments the actual area of the lungs in a 3D volume. Recently, the deep learning model, such as U-Net outperforms other network architectures for biomedical i...

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Bibliographic Details
Main Authors: Dhaval D. Kadia, Md Zahangir Alom, Ranga Burada, Tam V. Nguyen, Vijayan K. Asari
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
3D Lung segmentation
R²U3D
semantic segmentation
deep CNN
biomedical image analysis
Online Access:https://ieeexplore.ieee.org/document/9456956/

Internet

https://ieeexplore.ieee.org/document/9456956/

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