ilmaro8 / Multiple_Instance_Learning_instance_based
☆15Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Multiple_Instance_Learning_instance_based
- machine-readable information for the TCGA dataset, mirrored from other sources☆14Updated 2 years ago
- Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"☆17Updated 3 months ago
- ECCV-AIMIA 2022 paper: "Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images"☆12Updated last year
- Preprocessing module for large histological images☆18Updated last year
- The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.☆28Updated last year
- Toolbox for measuring adversarial robustness to many transforms☆19Updated 2 years ago
- SEGmentation using Graphs with Inexact aNd Incomplete labels☆22Updated 2 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆46Updated 2 years ago
- Solid Tumor Associative Modeling in Pathology☆47Updated 2 months ago
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆26Updated 3 years ago
- Re-stained whole slide image alignment☆31Updated last year
- Pipeline for computational pathology☆34Updated 10 months ago
- ☆12Updated last year
- Deep learning-based multimodal integration of histology and genomics to improves cancer origin prediction☆19Updated last year
- Released code for the paper 'End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma'☆9Updated 2 years ago
- Code related to the PANDA challenge on artificial intelligence for Gleason grading☆12Updated 3 years ago
- ☆15Updated 2 years ago
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆27Updated 6 months ago
- Code from Foersch et al. (Under Construction / Development)☆35Updated last year
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆19Updated 4 years ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆32Updated 3 years ago
- ☆33Updated 4 months ago
- ☆40Updated 2 years ago
- ☆18Updated 3 years ago
- NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images☆24Updated 4 months ago
- Histopathology Slides Preprocessing Pipeline☆32Updated 2 months ago
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆25Updated last year
- Python 3 library for the augmentation & normalization of H&E images☆51Updated 2 years ago
- GPU-accelerated stain normalization command line tool☆19Updated last year
- A neural network software for using Molecular labelling to improve pathological annotation of H and E tissues☆29Updated last year