Upload DiffMix pretrained checkpoints
Browse files- README.md +34 -0
- consep-ema_0.9999_010000.pt +3 -0
- glysac-ema_0.9999_010000.pt +3 -0
README.md
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---
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license: mit
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tags:
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- diffusion-model
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- image-segmentation
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- pathology
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- nuclei-segmentation
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- medical-imaging
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---
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# DiffMix
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This repository contains pretrained semantic diffusion model checkpoints from
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[DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets](https://arxiv.org/abs/2306.14132), presented at MICCAI 2023.
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## Checkpoints
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- `consep-ema_0.9999_010000.pt`: checkpoint trained for the CoNSeP dataset.
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- `glysac-ema_0.9999_010000.pt`: checkpoint trained for the GLySAC dataset.
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Use each checkpoint with the corresponding scripts in the [official implementation](https://github.com/hvcl/DiffMix), specifically `semantic-diffusion-model/scripts_ddim_sample/`.
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## Citation
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```bibtex
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@inproceedings{oh2023diffmix,
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title={Diffmix: Diffusion model-based data synthesis for nuclei segmentation and classification in imbalanced pathology image datasets},
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author={Oh, Hyun-Jic and Jeong, Won-Ki},
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booktitle={International conference on medical image computing and computer-assisted intervention},
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pages={337--345},
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year={2023},
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organization={Springer}
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}
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```
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consep-ema_0.9999_010000.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:14463bafe91976b0dd6f006466fae749d127c7b205de28ac3306a7f432e2b4d5
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size 2609187879
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glysac-ema_0.9999_010000.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6b4648dcd91a06ca1819fd0b471975eaa4a8e9d30e8117409738d379e2b16d2
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size 2608957479
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