CellViT
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TIO-IKIM
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Hello, First of all, thank you for sharing this wonderful project. I am working with an .XML annotation from the CAMELYON dataset and would like to use the annotation function...
Hi, first of all, thanks for this amazing tool! I am training a CellViT instance on another dataset and I would like to perform a cell embedding analysis as you...
**Describe the bug** Not sure if "bug" or if I am doing something incorrectly. When I attempt to predict on a 40x magnification slide using the 20x preprocessing and 20x...
Hi, when I make a prediction on a svs file of size 191231, 86398 with mpp=0.25, the 128G of RAM just explodes. Any solution for this?
**Describe the bug** When using CellViT to segment some WSIs under 20x magnification scale, the result showed in QuPath is incorrect. However, when under 40x magnification scale, they are correct....
Hi, I really appreciate your work. Recently I am trying to use CellViT to run inference on ROIs, but I don't know how to modify the pipeline. May you give...
Hello, I want to use CellViT to train CoNSeP dataset. I have successfully converted 1000x1000 png image and.mat format annotation data from the original dataset into 256x256 png image and.nPY...
**Describe the bug** Current plot_results() can't handle the attributes of predictions/ground_truth and the shape well. Updated version from my side below: def plot_results( self, imgs: Union[torch.Tensor, np.ndarray], predictions: dict, ground_truth:...
Hello, I've been trying to implement UMAP in the context of CellViT, but my results have been quite messy. It seems that the cells from different classes are mixed together...
**Describe the bug** Dear Author, Thank you very much for sharing your project! During the trial run of the code you provided, I found that my computer would completely freeze....
