2023
DOI: 10.1002/ima.22878
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CA‐UNet: Convolution and attention fusion for lung nodule segmentation

Abstract: Lung cancer is one of the deadliest cancers in the world and is a serious threat to human life. Lung nodules are an early manifestation of lung cancer, early detection and treatment of which can improve the survival rate of patients. In order to accurately segment the lung nodule regions in lung CT images, CA‐UNet, an encoding and decoding structure based on convolution and attention fusion, is proposed based on the U‐Net network. It has improved on two points: First, at the skip connection, the global feature… Show more

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Cited by 3 publications
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