Popular GitHub Repositories for Breast Cancer Histopathology

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

BCDU-Net : Medical Image Segmentation

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

Towards a general-purpose foundation model for computational pathology - Nature Medicine

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

Tools for computational pathology

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

A vision-language foundation model for computational pathology - Nature Medicine

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

cGAN-based Multi Organ Nuclei Segmentation

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]

A Machine Learning and Deep Learning based webapp used to predict multiple diseases.

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)

Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024

[Nature Machine Intelligence 2024] Code and evaluation repository for the paper

BioDynaMo is a high-performance and modular, agent-based simulation platform.

Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings of The 3rd International Conference on Medical Imaging with Deep Learning (MIDL) 2020'