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A package to compute medical segmentation metrics.

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Following one of the examples in the `README` file, a quick test using a ground truth image as the predicted image, ``` labels = [0, 1, 2] gdth_img = np.array([[0,0,1],...

Hi, would it be possible to add the rt-struct formatted labels to the list?

Hi, Is it possible to add the .png suffix please ? Thanks a lot

@Jingnan-Jia If `msd` is the mean (Average) surface distance, shouldn't it provide the exact same result as the `assd` value in `medpy`? ``` metrics = sg.write_metrics( labels=labels, gdth_img=gdth_np, pred_img=pred_np, spacing=spacing,...

Hi, If I used 2D configuration for a volumetric image, is the evaluation metric computed for the 3D volume or per 2D slices and then aggregating? Thanks

Hi, Jingnan, Thank you for sharing this repository. I do have a question regarding to `spacing` in the input. Is it the same spacing between pixels? That leads to a...