SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation

Multi-organ medical image segmentation is crucial for diagnosis and treatment planning. However, many methods including variability in different factors complicate the task, target categories and interference from complex backgrounds.

Data and Resources

Cite this as

Lin Zhang, Wenbo Gao, Jie Yi, Yunyun Yang (2024). Dataset: SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation. https://doi.org/10.57702/unuro6ig

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Author Lin Zhang
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Wenbo Gao
Jie Yi
Yunyun Yang
Homepage https://arxiv.org/abs/2304.12345