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:
- Multiple instance learning with graph neural networks.☆31Updated 4 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆54Updated 2 years ago
- Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…☆62Updated 3 years ago
- Benchmarking toolkit for patch-based histopathology image classification.☆41Updated 2 years ago
- Python 3 library for the augmentation & normalization of H&E images☆56Updated 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
- Data and code to accompany our Nature publication☆46Updated 3 years ago
- ECCV-AIMIA 2022 paper: "Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images"☆12Updated 2 years ago
- Code for replicating results presented in the paper: "Quantifying Explainers of Graph Neural Networks in Computational Pathology"☆46Updated 4 years ago
- DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep …☆36Updated 4 years ago
- A set of codes to classify H&E slides using deep learning☆30Updated 3 years ago
- ☆71Updated 4 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆54Updated 3 years ago
- ☆28Updated 4 years ago
- Multiple instance learning model implemented in pytorch☆39Updated 2 years ago
- Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding☆29Updated 9 months ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆80Updated 2 years ago
- Variance pooling to incorporate ITH in CPath models - MICCAI 2022☆24Updated 2 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
- 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
- ☆25Updated 2 years ago
- Improving Representation Learning for Histopathologic Images with Cluster Constraints☆16Updated last year
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆87Updated 2 years ago
- This is the official implementation of the method ContIG, for self-supervised learning from medical imaging with genomics☆56Updated 2 years ago
- Released code for the paper 'End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma'☆9Updated 3 years ago
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆25Updated 3 years ago
- ☆10Updated 2 years ago
- ☆35Updated 2 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆68Updated 2 years ago
- ☆28Updated 3 years ago