cwlkr / torchvahadane
Gpu accelerated vahadane stain normalization for Digital Pathology workflows.
☆24Updated last year
Alternatives and similar repositories for torchvahadane:
Users that are interested in torchvahadane are comparing it to the libraries listed below
- ☆36Updated 2 years ago
- DeeperHistReg - Source Code☆47Updated 10 months ago
- ☆57Updated 5 months ago
- Solid Tumor Associative Modeling in Pathology☆61Updated 2 weeks ago
- ☆52Updated 3 years ago
- GPU-accelerated stain normalization command line tool☆19Updated last year
- source code of Inter-MIL: self-interactive multi-instance learning☆12Updated last year
- Pytorch-adaptation of GPU-accelerated StainTool's stain normalization algorithms☆26Updated last year
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆52Updated last year
- DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs☆54Updated 3 months ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆24Updated last year
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆138Updated 9 months ago
- Histopathology Slides Preprocessing Pipeline☆36Updated 3 months ago
- Toolbox for measuring adversarial robustness to many transforms☆19Updated 2 years ago
- Python library for processing whole slide images (WSIs) in sdpc format☆50Updated last month
- ☆13Updated 3 months ago
- ☆22Updated last month
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆51Updated 2 years ago
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆66Updated 2 years ago
- Histopathology Image Analysis☆92Updated last year
- ☆49Updated last year
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆25Updated 11 months ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆24Updated 10 months ago
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆52Updated last year
- [ESWA 2023] Implementation of DSCA: A Dual-stream Network with Cross-attention on Whole-Slide Image Pyramids for Cancer Prognosis☆22Updated 10 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
- Interpretable Gland-Graph Networks☆21Updated 11 months ago
- MADELEINE: multi-stain slide representation learning (ECCV'24)☆44Updated last week
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆60Updated 3 years ago
- Whole Slide Image (WSI) Processing Library for Histopathological / Cytopathological Machine Learning Tasks☆24Updated last year