Bingchao-Zhao / QC
Using Deep Learning for Pathology Image Quality Control
☆12Updated last year
Related projects ⓘ
Alternatives and complementary repositories for QC
- ☆45Updated last year
- Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021☆125Updated 5 months ago
- Python library for processing whole slide images (WSIs) in sdpc format☆44Updated last month
- Zhu, Xinliang, et al. "Wsisa: Making survival prediction from whole slide histopathological images." Proceedings of the IEEE Conference o…☆13Updated 2 years ago
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆35Updated 9 months ago
- TankZhouFirst / clinical-grade-computational-pathology-using-weakly-supervised-deep-learning-on-whole-slide-images首个临床级别的 AI 系统可 用源码☆65Updated 2 years ago
- Contains codes of DeepAttnMISL in MEDIA'20☆57Updated 3 years ago
- Multi-Scale Representation Attention based Deep Multiple Instance Learning for Gigapixel Whole Slide Image Analysis☆25Updated last year
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆25Updated last year
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆67Updated last year
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆64Updated 9 months ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆72Updated 8 months ago
- Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024☆124Updated 3 years ago
- Radiopathomics: a framework of fusing multi-scale images information to enrich description of tumor heterogeneity for LARC patients prior…☆21Updated 3 years ago
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆41Updated 3 years ago
- Deep Multi-Magnification Network for multi-class tissue segmentation of whole slide images☆25Updated 2 years ago
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆32Updated 3 years ago
- ☆36Updated last year
- ☆53Updated last month
- A Trained Network for Histopathology Image Representation☆16Updated 5 months ago
- ☆28Updated 2 years ago
- base on MIL method☆13Updated 3 months ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆30Updated 4 months ago
- A quick start for pathology AI research☆16Updated last month
- ☆49Updated 2 years ago
- A simple tool used for normalize whole slide images, support macenko, reinhard, vahadane☆13Updated 2 weeks ago
- Tools for whole slide image (WSI) processing. Especially for (pairwise) patch extraction, annotation parsing and data preparation for dee…☆42Updated this week
- Code from Foersch et al. (Under Construction / Development)☆35Updated last year
- Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning☆25Updated 4 years ago
- Re-stained whole slide image alignment☆31Updated last year