ilmaro8 / Multiple_Instance_Learning_instance_basedLinks
☆15Updated 2 years ago
Alternatives and similar repositories for Multiple_Instance_Learning_instance_based
Users that are interested in Multiple_Instance_Learning_instance_based are comparing it to the libraries listed below
Sorting:
- ECCV-AIMIA 2022 paper: "Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images"☆12Updated 2 years ago
- machine-readable information for the TCGA dataset, mirrored from other sources☆20Updated 3 years ago
- Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning☆11Updated last year
- Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"☆18Updated last year
- SEGmentation using Graphs with Inexact aNd Incomplete labels☆23Updated 3 years ago
- Pipeline for computational pathology☆38Updated last year
- ☆18Updated 4 years ago
- ☆20Updated 2 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆54Updated 3 years ago
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆27Updated last year
- ☆56Updated 3 years ago
- ☆17Updated 3 years ago
- A set of codes to classify H&E slides using deep learning☆30Updated 3 years ago
- Re-stained whole slide image alignment☆35Updated last year
- Code from Foersch et al. (Under Construction / Development)☆37Updated 2 years ago
- Toolbox for measuring adversarial robustness to many transforms☆19Updated 4 months ago
- Code related to the PANDA challenge on artificial intelligence for Gleason grading☆18Updated 3 years ago
- ☆36Updated 2 years ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆35Updated 4 years ago
- Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification | https://arxiv.org/abs/2105.02726☆25Updated 3 years ago
- ☆45Updated 3 years ago
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆18Updated 5 years ago
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆24Updated last year
- ☆45Updated 2 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- ☆10Updated 2 years ago
- A Comprehensive Evaluation of Histopathology Foundation Models for Ovarian Cancer Subtype Classification☆13Updated 7 months ago
- Python 3 library for the augmentation & normalization of H&E images☆59Updated 3 years ago
- NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images☆34Updated last year
- 🔬 Code-free deep segmentation for computational pathology☆56Updated last year