ozanciga / self-supervised-histopathology
Pretrained model for self supervised histopathology
☆111Updated 2 years ago
Alternatives and similar repositories for self-supervised-histopathology:
Users that are interested in self-supervised-histopathology are comparing it to the libraries listed below
- Stain normalization tools for histological analysis and computational pathology☆137Updated 3 months ago
- A pipeline to segment tissue from the background in histological images☆68Updated 2 years ago
- Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)☆138Updated 2 years ago
- Histopathology Image Analysis☆93Updated last year
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆99Updated 4 months ago
- ☆53Updated 3 years ago
- ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…☆66Updated 2 years ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆52Updated last year
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆53Updated last year
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆146Updated 11 months ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆133Updated 3 years ago
- Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering☆101Updated last year
- List of pathology feature extractors and foundation models☆114Updated 2 months ago
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024☆123Updated last month
- A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in comput…☆252Updated last year
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆87Updated 4 months ago
- Histopathology Slides Preprocessing Pipeline☆36Updated last month
- Python 3 library for the augmentation & normalization of H&E images☆54Updated 2 years ago
- ☆70Updated 3 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆67Updated 2 years ago
- Standardized benchmark for computational pathology foundation models.☆64Updated 2 weeks ago
- Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024☆134Updated 4 months ago
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆86Updated last year
- Toolkit for large-scale whole-slide image processing.☆175Updated this week
- Pipeline for computational pathology☆34Updated last year
- Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings o…☆97Updated 3 years ago
- Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., Med…☆150Updated last year
- Tools to build deep learning pipelines.☆97Updated 5 months ago
- First commit☆61Updated 2 years ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆79Updated 2 years ago