jmg764 / Attention-Based-Deep-Multiple-Instance-LearningLinks
Constructed attention-based deep multiple instance learning model using PyTorch and trained on 624 whole slide images of digitized H&E-stained prostate biopsies using AWS SageMaker’s data parallelism toolkit.
☆22Updated 3 years ago
Alternatives and similar repositories for Attention-Based-Deep-Multiple-Instance-Learning
Users that are interested in Attention-Based-Deep-Multiple-Instance-Learning are comparing it to the libraries listed below
Sorting:
- Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…☆61Updated 3 years ago
- Benchmarking toolkit for patch-based histopathology image classification.☆43Updated 2 years ago
- Released code for the paper 'End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma'☆10Updated 4 years ago
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆26Updated 4 years ago
- Winners of the TissueNet: Detect Lesions in Cervical Biopsies competition☆22Updated 2 years ago
- ☆13Updated 3 years ago
- Repository for "Gigapixel Whole-Slide Images Classification using Locally Supervised Learning" (MICCAI 2022)☆28Updated 3 years ago
- ☆46Updated 2 years ago
- Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering☆111Updated 2 years ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆78Updated 3 years ago
- SEGmentation using Graphs with Inexact aNd Incomplete labels☆21Updated 3 years ago
- Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"☆18Updated last year
- Improving Representation Learning for Histopathologic Images with Cluster Constraints☆17Updated 2 years ago
- Hibou: Foundational Models for Pathology☆76Updated last year
- ☆28Updated 4 years ago
- ☆11Updated 3 years ago
- Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding☆30Updated last year
- Generation of synthetic artefacts / digital pathology☆15Updated 4 years ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆59Updated 4 years ago
- Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.…☆34Updated 2 years ago
- Preprocessing module for large histological images☆21Updated 2 years ago
- MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"☆38Updated 5 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- CBMIL: Clustering-based Multi-instance Learning Network for Whole Slide Image Classification☆11Updated 2 years ago
- The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.☆35Updated 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 4 years ago
- MADELEINE: multi-stain slide representation learning (ECCV'24)☆66Updated 11 months ago
- Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.☆22Updated 5 years ago
- Ovarian cancer classification based on histopathology images - Transfer learning strategy☆27Updated 2 years ago
- A graph-transformer for whole slide image classification☆179Updated last year