Improved lung nodule segmentation with a squeeze excitation dilated attention based residual UNet

Improved lung nodule segmentation with a squeeze excitation dilated attention based residual UNet

Abstract The diverse types and sizes, proximity to non-nodule structures, identical shape characteristics, and varying sizes of nodules make them challenging for segmentation methods. Although many efforts have been made in automatic lung nodule segmentation, most of them have not sufficiently addre...

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Bibliographic Details
Main Authors: Dhafer Alhajim, Karim Ansari-Asl, Gholamreza Akbarizadeh, Mehdi Naderi Soorki
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Lung nodule
Segmentation
Deep learning
Intensity normalization
Attention
Online Access:https://doi.org/10.1038/s41598-025-85199-5
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https://doi.org/10.1038/s41598-025-85199-5

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