IB-TransUNet: Combining Information Bottleneck and Transformer for Medical Image Segmentation
Medical image segmentation plays an important role in disease diagnosis and surgical guidance. There are two problems in the current field of medical image segmentation. First, due to the inherent locality of convolution operations, it is difficult for convolutional neural network models to capture...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-03-01
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Series: | Journal of King Saud University: Computer and Information Sciences |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157823000411 |