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...

書誌詳細
出版年:	IEEE Access
主要な著者:	P. C. Sarah Prithvika, L. Jani Anbarasi
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2024-01-01
主題:	Convolutional neural network encoder-decoder linear attention pulmonary nodule segmentation ResUNet
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10776983/

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