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What is UNet or Medical Image about?

The document presents UnetTransCNN, a novel architecture that integrates Vision Transformers and Convolutional Neural Networks for improved 3D medical image segmentation. This model effectively captures both local and global features, achieving a state-of-the-art average Dice score of 85.3% on public datasets, significantly enhancing segmentation accuracy for complex anatomical structures. The findings highlight the model

Author

balamurugan2452005

Language

EN