StarDist
基于星形凸多边形的细胞核和细胞分割方法，使用深度学习预测每个像素到 边界的距离。该方法对密集排列的细胞核分割效果优异，常用于组织切片图像分析。
| Property | Value |
|---|---|
| Purpose | 基于星形凸多边形的细胞分割 |
| Time Complexity | O(p) |
| Space Complexity | O(p) |
| Year | 2018 |
| Difficulty | Intermediate |
| Languages | Python |
| Category | Spatial Omics |
Complexity Analysis
- Time Complexity:
O(p) - Space Complexity:
O(p)
Performance Insight: The time complexity of this algorithm is polynomial.
Note: Complexity analysis is based on theoretical models. Actual runtime is affected by input scale, hardware, and implementation optimizations. Benchmark for your specific workload.
Literature & Implementation
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