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[MICCAI 2023] DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation

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When I make minor changes to the code based on the source code, I get exceptions to the metrics.Either part of the metric is 0, or it is 20% off...

When i testing with `dsd_01.yaml`, I meet the error. ![image](https://github.com/xmindflow/DermoSegDiff/assets/76839625/065aff0f-d0bd-4506-88f5-da1040fced6b) ![image](https://github.com/xmindflow/DermoSegDiff/assets/76839625/0cf84375-503f-44e8-bbb3-380bf17ccf12)

![微信图片_20240516182332](https://github.com/xmindflow/DermoSegDiff/assets/102784535/58fdb638-ab72-404b-beea-ab078315c7e2) Sorry, I don't really understand this loss function. It just seems to be putting a weight on Lb. And W is a H×W×1 map, Lb is a value, how...

Hello, I noticed that in your code, the training and testing sets are placed in the same folder. So, during testing, a portion of the images are randomly selected for...

The library torchmetrics has not been mentioned in the requirements, so adding it.

Actually, the command to install OpenCV is opencv-python so, updating the same in README.md file...