Stars
[NeurIPS 2023] Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Toward Multimodal Image-to-Image Translation
Multi-modal Denoising Diffusion Pre-training for Whole-Slide Image Classification
A generative toolkit to translate H&E images to multiplexed IHC
StarDist - Object Detection with Star-convex Shapes
transform H&E image into CK image using GAN (virtual staining)
High-Resolution Image Synthesis with Latent Diffusion Models
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024
Official Inplementation of 《WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole Slide Images》(MICCAI 2024 Oral/ Best Paper Candidate)
[MICCAI 2024] Official Repo of "HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction"
DeepSurv is a deep learning approach to survival analysis.
[CVPR 2024] Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
[ICCV 2023 Oral] Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification
Official PyTorch implementation of Deep Fuzzy Clustering Transformer: Learning the General Property of Corruptions for Degradation-Agnostic Multi-Task Image Restoration in IEEE Transactions on Fuzz…
HVTSurv: Hierarchical Vision Transformer for Patient-level Survival Prediction from Whole Slide Image-AAAI 2023
Contains codes of DeepAttnMISL in MEDIA'20
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Project for annotation-free image enhancement of fundus, cataract data.
A graph-transformer for whole slide image classification
Unofficial implementation of CVPR2022 paper DTFD-MIL. Use the official CAMELYON16 dataset instead of the .pickle file used in the official DTFT-MIL repo.