Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models

19 July 2024

Papers citing "Controllable and Efficient Multi-Class Pathology Nuclei Data Augmentation using Text-Conditioned Diffusion Models"

7 / 7 papers shown

Title
CLIP-IT: CLIP-based Pairing for Histology Images Classification Banafsheh Karimian Giulia Avanzato Soufian Belharbi Luke McCaffrey Mohammadhadi Shateri Eric Granger VLM 46 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 35 0 0 02 Apr 2025
Super-resolved virtual staining of label-free tissue using diffusion models Yijie Zhang Luzhe Huang N. Pillar Y. Li Hanlong Chen Aydogan Ozcan 32 2 0 26 Oct 2024
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis Haotian Wang Min Xian Aleksandar Vakanski Bryar Shareef MedIm 35 6 0 02 Sep 2022
Semantic Image Synthesis via Diffusion Models Weilun Wang Weilun Wang Wen-gang Zhou Dongdong Chen Dong Chen Lu Yuan Houqiang Li DiffM 214 176 0 30 Jun 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 394 0 10 Feb 2021
PanNuke Dataset Extension, Insights and Baselines Jevgenij Gamper Navid Alemi Koohbanani Ksenija Benes S. Graham Mostafa Jahanifar S. Khurram A. Azam K. Hewitt Nasir M. Rajpoot 108 174 0 24 Mar 2020