metadata
license: mit
tags:
- diffusion-model
- image-segmentation
- pathology
- nuclei-segmentation
- medical-imaging
DiffMix
This repository contains pretrained semantic diffusion model checkpoints from DiffMix: Diffusion Model-based Data Synthesis for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets, presented at MICCAI 2023.
Checkpoints
consep-ema_0.9999_010000.pt: checkpoint trained for the CoNSeP dataset.glysac-ema_0.9999_010000.pt: checkpoint trained for the GLySAC dataset.
Use each checkpoint with the corresponding scripts in the official implementation, specifically semantic-diffusion-model/scripts_ddim_sample/.
Citation
@inproceedings{oh2023diffmix,
title={Diffmix: Diffusion model-based data synthesis for nuclei segmentation and classification in imbalanced pathology image datasets},
author={Oh, Hyun-Jic and Jeong, Won-Ki},
booktitle={International conference on medical image computing and computer-assisted intervention},
pages={337--345},
year={2023},
organization={Springer}
}