rosasalberto / milLinks
Multiple instance learning library for Python
☆64Updated 3 years ago
Alternatives and similar repositories for mil
Users that are interested in mil are comparing it to the libraries listed below
Sorting:
- Python 3 library for the augmentation & normalization of H&E images☆56Updated 2 years ago
- Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…☆62Updated 3 years ago
- Data and code to accompany our Nature publication☆46Updated 3 years ago
- Multiple instance learning with graph neural networks.☆31Updated 4 years ago
- Benchmarking toolkit for patch-based histopathology image classification.☆41Updated 2 years ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆61Updated 3 years ago
- Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)☆140Updated 2 years ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆80Updated 2 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆54Updated last year
- Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding☆28Updated 9 months ago
- ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…☆66Updated 2 years ago
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆87Updated 2 years ago
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆30Updated last year
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆25Updated 3 years ago
- Constructed attention-based deep multiple instance learning model using PyTorch and trained on 624 whole slide images of digitized H&E-st…☆19Updated 3 years ago
- Pretrained model for self supervised histopathology☆116Updated 2 years ago
- A tutorial demonstration of pathml on an example dataset for the manuscript "PathML: A unified framework for WSI analysis with deep learn…☆24Updated 3 years ago
- ☆45Updated 2 years ago
- A set of codes to classify H&E slides using deep learning☆30Updated 3 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆53Updated 3 years ago
- Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.