BiCFormer: Swin Transformer based model for classification of benign and malignant pulmonary nodules
Xiaoping Zhao,
Jingjing Xu,
Zhichen Lin
et al.
Abstract:Pulmonary cancer is one of the most common and deadliest cancers worldwide, and the detection of benign and malignant nodules in the lungs can be an important aid in the early diagnosis of lung cancer. Existing convolutional neural networks (CNNs) inherit their limitations by extracting global contextual information, and in most cases prove to be less efficient in obtaining satisfactory results. Transformer-based deep learning methods have obtained good performance in different computer vision tasks, and this … Show more
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