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Found 2 papers, 1 papers with code
BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
While transformers have achieved state-of-the-art results in natural language processing and image recognition, they face challenges in medical image segmentation due to image locality and translational invariance issues.
Capturing Local and Global Features in Medical Images by Using Ensemble CNN-Transformer
This paper introduces a groundbreaking classification model called the Controllable Ensemble Transformer and CNN (CETC) for the analysis of medical images.
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