Improved Medical Image Segmentation Algorithm Based on Swin-Unet-Reference-Cited by-同舟云学术

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Improved Medical Image Segmentation Algorithm Based on Swin-Unet

Published:2024 Issue:02 Volume:13 Page:354-362
ISSN:2326-3415
Container-title:Artificial Intelligence and Robotics Research
language:
Short-container-title:AIRR

Author:

康家荣

Publisher

Hans Publishers

Reference19 articles.

1. U-Net: Convolutional Networks for Biomedical Image Segmentation

2. UNet++: A Nested U-Net Architecture for Medical Image Segmentation

3. ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

4. A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images

5. Vaswani, A., Shazeer, N., Parmar, N., et al. (2017) Attention Is All You Need. Advances in Neural Information Processing Systems. arXiv preprint arXiv: 1706.03762.

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