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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, where
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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, where organoids and necrosis were made as separate masks and then merged with different grayscale values.
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