EIDOSLAB / torchstain
Stain normalization tools for histological analysis and computational pathology
☆138Updated 3 months ago
Alternatives and similar repositories for torchstain:
Users that are interested in torchstain are comparing it to the libraries listed below
- List of pathology feature extractors and foundation models☆119Updated 3 months ago
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆100Updated 5 months ago
- A pipeline to segment tissue from the background in histological images☆69Updated 2 years ago
- Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., Med…☆153Updated last year
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆67Updated 2 years ago
- Some stain normalization code☆88Updated 2 years ago
- StainNet: a fast and robust stain normalization network☆46Updated 3 years ago
- Python 3 library for the augmentation & normalization of H&E images☆54Updated 2 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆54Updated last year
- Histopathology Image Analysis☆92Updated last year
- Encoder-Decoder Cell and Nuclei segmentation models☆91Updated this week
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆54Updated 3 years ago
- Pretrained model for self supervised histopathology☆112Updated 2 years ago
- Pytorch-adaptation of GPU-accelerated StainTool's stain normalization algorithms☆29Updated last year
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆68Updated last year
- A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in comput…☆253Updated last year
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆147Updated 11 months ago
- Virtual Alignment of pathoLogy Image Series☆156Updated 4 months ago
- ☆15Updated 5 months ago
- ☆55Updated 3 years ago
- Interactive Segmentation of Nucleus☆63Updated 2 years ago
- ☆59Updated 7 months ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆88Updated 5 months ago
- Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)☆139Updated 2 years ago
- Pipeline for computational pathology☆35Updated last year
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆135Updated 3 years ago
- Tools to build deep learning pipelines.☆100Updated 5 months ago
- Histopathology Slides Preprocessing Pipeline☆38Updated last month
- Toolkit for large-scale whole-slide image processing.☆200Updated this week
- HistoQC is an open-source quality control tool for digital pathology slides☆290Updated 4 months ago