Enhancing medical image segmentation through stacked u-net architectures with interconnected convolution layers
The effective integration of convolutional neural networks (CNNs), particularly as exemplified by the U-Net architecture, has led to notable advancements in medical image segmentation. Among various methodologies, the U-Net has demonstrated unparalleled proficiency across intricate medical image seg...
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Egyptian Informatics Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S111086652500146X |
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