LA-ResUNet: An Efficient Linear Attention Mechanism in ResUNet for the Semantic Segmentation of Pulmonary Nodules

LA-ResUNet: An Efficient Linear Attention Mechanism in ResUNet for the Semantic Segmentation of Pulmonary Nodules

Numerous people die from lung cancer every year, making it a serious public health issue. Oftentimes, the symptoms of lung cancer manifest only at a later stage, when it is difficult to treat. Pulmonary nodules are commonly found while screening the lungs using a Computed Tomography (CT) scan, and s...

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Bibliographic Details
Main Authors: P. C. Sarah Prithvika, L. Jani Anbarasi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
encoder-decoder
linear attention
pulmonary nodule segmentation
ResUNet
Online Access:https://ieeexplore.ieee.org/document/10776983/
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https://ieeexplore.ieee.org/document/10776983/

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