肺癌病理切片分类的混合深度学习模型研究。提出ResNet-50与Vision Transformer（ViT）融合架构，通过并行提取2048维空间特征和768维 ...

In the last decade, convolutional neural networks (CNNs) have been the go-to architecture in computer vision, owing to their powerful capability in learning representations from images/videos.

Transformers, first proposed in a Google research paper in 2017, were initially designed for natural language processing (NLP) tasks. Recently, researchers applied transformers to vision applications ...