Medical image segmentation model based on local enhancement driven global optimization
Abstract In medical image segmentation, it is a challenging task to identify and locate the boundary of pathological tissue accurately. In response to this issue, this paper proposes a medical image segmentation model, named Local Enhancement Driven Global Optimization Network (LEGO-Net), and specia...
| Published in: | Scientific Reports |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Online Access: | https://doi.org/10.1038/s41598-025-02393-1 |
