cwlkr / torchvahadaneLinks
Gpu accelerated vahadane stain normalization for Digital Pathology workflows.
☆27Updated last year
Alternatives and similar repositories for torchvahadane
Users that are interested in torchvahadane are comparing it to the libraries listed below
Sorting:
- Feather - Lightweight supervised slide foundation models (ICML 2025)☆133Updated this week
- ☆67Updated last year
- DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs☆65Updated last year
- ☆38Updated 2 years ago
- Standardized benchmark for computational pathology foundation models.☆130Updated 3 months ago
- DeeperHistReg - Source Code☆91Updated last year
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆161Updated last year
- MADELEINE: multi-stain slide representation learning (ECCV'24)☆66Updated 11 months ago
- RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]☆56Updated 3 years ago
- ☆57Updated 4 years ago
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024☆147Updated 11 months ago
- Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024☆160Updated last year
- ☆56Updated 9 months ago
- Multimodal prototyping for cancer survival prediction - ICML 2024☆113Updated 11 months ago
- ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…☆68Updated 3 years ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆83Updated 2 years ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆24Updated 2 years ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆32Updated last year
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆55Updated 3 years ago
- This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.☆88Updated 10 months ago
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆43Updated 8 months ago
- Histopathology Slides Preprocessing Pipeline☆43Updated last month
- ☆71Updated 4 years ago
- ☆31Updated last year
- Python library for processing whole slide images (WSIs) in sdpc format☆67Updated last year
- Solid Tumor Associative Modeling in Pathology☆110Updated 2 weeks ago
- A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.☆110Updated 3 months ago
- Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)☆126Updated 9 months ago
- Histopathology Image Analysis☆93Updated 2 years ago
- GPU-accelerated stain normalization command line tool☆24Updated 2 years ago