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Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models
19 July 2024
Hyunwoo Oh
Won-Ki Jeong
MedIm
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Papers citing
"Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models"
6 / 6 papers shown
MSDM: Generating Task-Specific Pathology Images with a Multimodal Conditioned Diffusion Model for Cell and Nuclei Segmentation
Dominik Winter
Mai Bui
Monica Azqueta Gavaldon
Nicolas Triltsch
Marco Rosati
N. Brieu
MedIm
160
0
0
10 Oct 2025
Pixel super-resolved virtual staining of label-free tissue using diffusion models
Yijie Zhang
Luzhe Huang
N. Pillar
Rui Wang
Hanlong Chen
Aydogan Ozcan
287
3
0
01 Jul 2025
Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification
GaYeon Koh
Hyun-Jic Oh
Jeonghyun Noh
Won-Ki Jeong
DiffM
222
2
0
02 Jun 2025
CLIP-IT: CLIP-based Pairing for Histology Images Classification
Banafsheh Karimian
Giulia Avanzato
Soufian Belharbi
Luke McCaffrey
Luke McCaffrey
Mohammadhadi Shateri
Eric Granger
VLM
355
0
0
22 Apr 2025
Instance Migration Diffusion for Nuclear Instance Segmentation in Pathology
Lirui Qi
Hongliang He
Tong Wang
Siwei Feng
Guohong Fu
MedIm
188
0
0
02 Apr 2025
Semantic Image Synthesis via Diffusion Models
Weilun Wang
Weilun Wang
Wen-gang Zhou
Dongdong Chen
Dong Chen
Lu Yuan
Houqiang Li
DiffM
796
207
0
30 Jun 2022
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