Fusing Brilliance: Evaluating the Encoder-Decoder Hybrids With CNN and Swin Transformer for Medical Segmentation
U-Net has become a standard model for medical image segmentation, alleviating the challenges posed by the costly acquisition and labeling of medical data. The convolutional layer, a fundamental component of U-Net, is renowned for its ability to incorporate inductive bias and efficiently extract loca...
में बचाया:
| मुख्य लेखकों: | , |
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| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
IEEE
2024-01-01
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| श्रृंखला: | IEEE Access |
| विषय: | |
| ऑनलाइन पहुंच: | https://ieeexplore.ieee.org/document/10507838/ |
| टैग: |
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