ReyaLabColumbia
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Segformer_Organoid_Counter_GP

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ReyaLabColumbia commited on Jun 30, 2025

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@@ -18,13 +18,7 @@ Custom fine-tuned version of NVIDIA's segformer model for colony slides in micro
 Xie, E., Wang, W., Yu, Z., Anandkumar, A., Alvarez, J. M., & Luo, P. (2021). SegFormer: Simple and efficient design for semantic segmentation with transformers. arXiv preprint arXiv:2105.15203. https://arxiv.org/abs/2105.15203
 The Segformer-Cityscapes model was changed to a ternary classifier and fine-tuned on custom training data, where colonies and necrosis were made as separate masks and then merged with different grayscale values.
-![test12.png](https://cdn-uploads.huggingface.co/production/uploads/6813e81cfd7a2af93d0e5384/T1cgAw1cnbzXOQbujcPfj.png)
-![Mask_test12.png](https://cdn-uploads.huggingface.co/production/uploads/6813e81cfd7a2af93d0e5384/Bu-JLpMzYv1UqZVr5BzUz.png)
-![Mask2_test12.png](https://cdn-uploads.huggingface.co/production/uploads/6813e81cfd7a2af93d0e5384/etghwv4AEr15uceSk1upQ.png)
 After training, it was able to correctly identify organoids and necrosis.
-![example2.png](https://cdn-uploads.huggingface.co/production/uploads/6813e81cfd7a2af93d0e5384/-Igd3jirHou-ChM3ZHZvo.png)
-![example.png](https://cdn-uploads.huggingface.co/production/uploads/6813e81cfd7a2af93d0e5384/N3b_rdSfWec4ybIB6Ijfq.png)
-The python program (see linked GitHub) then uses the masks to annotate the images and provide statistics about the colonies.
-![Group_analysis_results3.png](https://cdn-uploads.huggingface.co/production/uploads/6813e81cfd7a2af93d0e5384/dUcZcjmMp4jbRsSgQJLiD.png)

 Xie, E., Wang, W., Yu, Z., Anandkumar, A., Alvarez, J. M., & Luo, P. (2021). SegFormer: Simple and efficient design for semantic segmentation with transformers. arXiv preprint arXiv:2105.15203. https://arxiv.org/abs/2105.15203
 The Segformer-Cityscapes model was changed to a ternary classifier and fine-tuned on custom training data, where colonies and necrosis were made as separate masks and then merged with different grayscale values.
 After training, it was able to correctly identify organoids and necrosis.
+The python program (see linked GitHub) then uses the masks to annotate the images and provide statistics about the colonies.