Cross-fusion attention ViT network diagram.

<div><p>The benign and malignant discrimination of pulmonary nodules plays a very important role in diagnosing the extent of lung cancer lesions. There are many methods using Convolutional neural network (CNN) for benign and malignant classification of pulmonary nodules, but traditional...

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Bibliographic Details
Main Author:	Qinfang Zhu (14168832) (author)
Other Authors:	Liangyan Fei (20678394) (author)
Published:	2025
Subjects:	Cancer Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified performs feature fusion 43 %, 94 11 %, 4 lung cancer lesions average optimal method 96 %, respectively 42 %, 92 27 %, 91 04 %, 91 pulmonary nodules plays 92 %, respectively global features extracted vit based benign 3 %, 0 pulmonary nodules lung nodules global features global information xlink "> two branches results show proposed method malignant nature malignant discrimination malignant classification luna16 dataset important role f1 score experimental validation effectively capture
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Cross-fusion attention ViT network diagram.

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