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Found 4 papers, 1 papers with code
A Recent Survey of Vision Transformers for Medical Image Segmentation
This survey paper provides a detailed review of the recent advancements in ViTs and HVTs for medical image segmentation.
A survey of the Vision Transformers and its CNN-Transformer based Variants
This survey presents a taxonomy of the recent vision transformer architectures and more specifically that of the hybrid vision transformers.
CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images
To address this issue, we propose a Channel Boosted Hybrid Vision Transformer (CB HVT) that uses transfer learning to generate boosted channels and employs both transformers and CNNs to analyse lymphocytes in histopathological images.
Detection of Tumour Infiltrating Lymphocytes in CD3 and CD8 Stained Histopathological Images using a Two-Phase Deep CNN
Results: The empirical evaluation on samples from LYSTO dataset shows that the proposed LSTAM-Net can learn variations in the images and precisely remove the hard negative stain artifacts with an F-score of 0. 74.
