Python package for preprocessing OpenSlide image files and their corresponding annotations for use with Machine Learning segmentation models.

[NeurIPS 2023] Official Implementation: "Ambient Diffusion: Learning Clean Distributions from Corrupted Data"

Repository for "Stochastic Segmentation with Conditional Categorical Diffusion Models" (ICCV 2023)

Codes and models for Medical Image Analysis (MIA) 2023 paper. Segment Anything Model for Medical Images?.

Simple diffusion implementation for binary-valued data using a Bernoulli distribution instead of a Gaussian.

Encoder-Decoder Cell and Nuclei segmentation models

A collection of awesome resources image-to-image translation.

personal toolbox for lidc-idri dataset / lung cancer / nodule

"Blind Image Quality Assessment for Pathological Microscopic Image under Screen and Immersion Scenarios"

A comprehensive collection of IQA papers

Python script to do tiling and basic filtering of histological slides

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

[CVPR'23] Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation

SONNET: A self-guided ordinal regression neural network for segmentation and classification of nuclei in large-scale multi-tissue histology images

A Python package for fast and robust Image Stitching

A repository for presenting the functionalty of the python 'stitching' package

Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

pix2pix with pytorch-lightning

HS-Diffusion: Semantic-Mixing Diffusion for Head Swapping

Representation Learning with Diffusion Models

A beautiful, simple, clean, and responsive Jekyll theme for academics

Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.

A curated list of resources for Learning with Noisy Labels

MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.

1st place solution for the Kaggle PANDA Challenge