A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
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Updated
Jul 12, 2024 - Python
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
Code for paper "SMILE: Self-Motivated Multi-instance Learning for Whole Slide Image Classification" submission under review.
Implementation of "Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification", (CVPR 2024 Highlight).
Feature extraction from GEOJson nuclei and tissue segmentation maps
Python library for reading tiles from wsi tiff-files.
🫁 DRU-Net: Lung carcinoma Segmentation using multi-lens distortion and fusion refinement network
nuclei.io: Human-in-the-loop active learning framework for pathology image analysis
Multi-stain graph self attention multiple instance learning for histopathology Whole Slide Images - BMVC 2023
Official Pytorch Code of Our Paper: Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
[AAAI'23] MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis
[MICCAI'23] HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis
Python package for reading DICOM WSI file sets.
Code to reproduce results of the Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks paper.
Multi-head Attention-based Deep Multiple Instance Learning
Official PyTorch implementation of our MICCAI 2022 paper: DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification.
Official PyTorch implementation of our NeurIPS 2022 paper: Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Macenko normalisation of big medical slides
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