Jun 21, 2022 · This paper proposes a model for lung parenchymal segmentation in chest CT based on ResUnet. It introduces the residual learning unit to transfer low-level ...
This paper proposes a model for lung parenchymal segmentation in chest CT based on ResUnet. It intro- duces the residual learning unit to transfer low-level ...
Liu et al. (2022) developed a model for lung parenchymal segmentation in chest CT which was based on ResUnet. The residual learning unit was introduced in order ...
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The experimental results show that compared with U-net and U-net++ models, the lung parenchyma segmentation results using this method are more accurate, the ...
Jul 31, 2024 · This paper proposes an initial lung mask extraction algorithm that combines threshold and gradient. The gradient used in the algorithm is obtained by the time ...
Oct 10, 2022 · This study proposes an automatic lung segmentation method that combines traditional imaging methods with ResUnet using the CT images of preschool children.
This study assesses the performance of a deep learning-based model for lung segmentation from computed tomography (CT) images of normal and COVID-19 patients.
Missing: ResUnet. | Show results with:ResUnet.
For the work of lung parenchyma segmentation, 9 of the 12 participating teams used the U-Net network or its modified forms, and others used the methods to ...
Experimental results confirm that the proposed LDDNet can segment the lung parenchymal area more accurately and has better robustness in comparison with ...
May 13, 2021 · Our paper proposes a method to measure lung parenchyma parameters from pulmonary window computed tomography images based on ResU-Net model