owkin / HistoSSLscaling
Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀
☆148Updated last year
Alternatives and similar repositories for HistoSSLscaling:
Users that are interested in HistoSSLscaling are comparing it to the libraries listed below
- List of pathology feature extractors and foundation models☆99Updated last month
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024☆117Updated last week
- Multimodal prototyping for cancer survival prediction - ICML 2024☆73Updated last week
- Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024☆92Updated 4 months ago
- Encoder-Decoder Cell and Nuclei segmentation models☆89Updated 2 weeks ago
- Stain normalization tools for histological analysis and computational pathology☆130Updated last month
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆97Updated 3 months ago
- Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023☆100Updated last year
- Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024☆127Updated 3 months ago
- Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)☆137Updated 2 years ago
- ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…☆64Updated 2 years ago
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆83Updated last year
- Solid Tumor Associative Modeling in Pathology☆62Updated 2 weeks ago
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆138Updated 9 months ago
- CellViT: Vision Transformers for Precise Cell Segmentation and Classification☆272Updated last month
- Pretrained model for self supervised histopathology☆111Updated 2 years ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆67Updated last year
- A vision-language foundation model for computational pathology - Nature Medicine☆321Updated last month
- Multimodal Whole Slide Foundation Model for Pathology☆169Updated 2 weeks ago
- Histopathology Slides Preprocessing Pipeline☆36Updated 3 months ago
- ☆22Updated last month
- Towards a general-purpose foundation model for computational pathology - Nature Medicine☆404Updated last month
- Tools to build deep learning pipelines.☆93Updated 3 months ago
- Histopathology Image Analysis☆92Updated last year
- Analysis of 3D pathology samples using weakly supervised AI - Cell☆97Updated last month
- RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]☆54Updated 2 years ago
- ☆294Updated 10 months ago
- A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in comput…☆249Updated last year
- DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs☆54Updated 3 months ago