Update README.md
Browse filesThe Segformer-Cityscapes model was changed to a ternary classifier and fine-tuned on custom training data.
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.
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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
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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
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The Segformer-Cityscapes model was changed to a ternary classifier and fine-tuned on custom training data.
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After training, it was able to correctly identify organoids and necrosis.
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The python program (see linked GitHub) then uses the masks to annotate the images and provide statistics about the colonies.
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