| import torch.nn as nn |
|
|
| from monai.metrics import DiceMetric, SurfaceDiceMetric |
| from utils.HausdorffDistance import HausdorffDistanceMetric |
|
|
|
|
| class SegmentMetrics(nn.Module): |
| def __init__(self, metric_name=["dsc"]): |
| super().__init__() |
|
|
| metric_dict = {} |
| for name in metric_name: |
| if name == "dsc": |
| metric_dict[name] = DiceMetric() |
| elif name == "nsd": |
| metric_dict[name] = SurfaceDiceMetric(class_thresholds=[2]) |
| elif name == "hd": |
| metric_dict[name] = HausdorffDistanceMetric(percentile=95.) |
| self.metrics = metric_dict |
|
|
| def forward(self, pred, target): |
| results = {} |
| for name, metric in self.metrics.items(): |
| results[name] = metric(pred, target).squeeze(1) |
| return results |
