PathologyDataScience / HiPS
Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis
☆18Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for HiPS
- Re-stained whole slide image alignment☆31Updated last year
- Solid Tumor Associative Modeling in Pathology☆47Updated 2 months ago
- Code from Foersch et al. (Under Construction / Development)☆35Updated last year
- Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Qu…☆49Updated last week
- HoVer-Net inference code for simultaneous nuclear segmentation and classification☆67Updated 2 years ago
- Data and code to accompany our Nature publication☆43Updated 2 years ago
- Pipeline for computational pathology☆34Updated 10 months ago
- ☆36Updated last year
- ☆49Updated 2 years ago
- ☆12Updated 2 months ago
- Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning☆25Updated 4 years ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆64Updated 9 months ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆32Updated 5 months ago
- Histopathology Image Analysis☆91Updated last year
- First commit☆58Updated 2 years ago
- ☆12Updated last year
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆28Updated 3 months ago
- Blazing fast nuclei segmentation for brightfield Whole Slide Images☆29Updated last month
- Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning☆32Updated 3 years ago
- Tools to build deep learning pipelines.☆85Updated last week
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆46Updated 2 years ago
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated 4 months ago
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆27Updated 6 months ago
- Deep learning enabled assessment of cardiac allograft rejection from endomyocardial biopsies- Nature Medicine☆28Updated 2 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
- DeeperHistReg - Source Code☆34Updated 6 months ago
- ☆45Updated 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
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆23Updated last year