EIDOSLAB / torchstain
Stain normalization tools for histological analysis and computational pathology
☆132Updated 2 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☆105Updated last month
- Pretrained model for self supervised histopathology☆111Updated 2 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆52Updated last year
- Python 3 library for the augmentation & normalization of H&E images☆52Updated 2 years ago
- 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
- Some stain normalization code☆87Updated 2 years ago
- A pipeline to segment tissue from the background in histological images☆68Updated last year
- StainNet: a fast and robust stain normalization network☆46Updated 3 years ago
- ☆52Updated 3 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆66Updated 2 years ago
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆139Updated 9 months ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆67Updated last year
- Encoder-Decoder Cell and Nuclei segmentation models☆89Updated 3 weeks ago
- Histopathology Image Analysis☆92Updated last year
- ☆57Updated 5 months ago
- Interactive Segmentation of Nucleus☆61Updated 2 years ago
- Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., Med…☆148Updated last year
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆52Updated 2 years ago
- Histopathology Slides Preprocessing Pipeline☆36Updated 3 months ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆80Updated 3 months ago
- Blazing fast nuclei segmentation for brightfield Whole Slide Images☆35Updated last month
- Virtual Alignment of pathoLogy Image Series☆149Updated 3 months ago
- Solid Tumor Associative Modeling in Pathology☆63Updated 3 weeks ago
- Pytorch-adaptation of GPU-accelerated StainTool's stain normalization algorithms☆26Updated last year
- Pipeline for computational pathology☆34Updated last year
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆83Updated last year
- Tools to build deep learning pipelines.☆93Updated 4 months ago
- Interpretable Gland-Graph Networks☆21Updated last year
- ☆13Updated 3 months 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