lucasrla / wsi-tile-cleanupLinks
Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning
☆28Updated 5 years ago
Alternatives and similar repositories for wsi-tile-cleanup
Users that are interested in wsi-tile-cleanup are comparing it to the libraries listed below
Sorting:
- Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning☆55Updated 2 years ago
- Histopathology Image Analysis☆92Updated 2 years ago
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated last year
- ☆64Updated last year
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆69Updated 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.☆106Updated 10 months ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆32Updated last year
- ☆56Updated 3 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- Whole Slide Images Segmentation using Patch UNet☆17Updated 5 years ago
- Re-stained whole slide image alignment☆35Updated last year
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆155Updated last year
- First commit☆63Updated 3 years ago
- GPU-accelerated stain normalization command line tool☆22Updated last year
- ☆17Updated 3 years ago
- Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for dee…☆56Updated 9 months ago
- A biologically interpretable integrative deep learning model that integrates PAthological images and GEnomic data☆18Updated 5 years ago
- Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay☆73Updated 8 months ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆35Updated 4 years ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆24Updated last year
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆62Updated 3 years ago
- ☆101Updated last year
- ☆36Updated 2 years ago
- Contains codes of DeepAttnMISL in MEDIA'20☆59Updated 4 years ago
- Code from Foersch et al. (Under Construction / Development)☆37Updated 2 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆54Updated 3 years ago
- ☆20Updated 2 years ago
- Some stain normalization code☆90Updated 2 years ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆140Updated 4 years ago
- Remove pen-marking annotations on whole slide images(WSIs) for data achiving.☆18Updated 3 years ago