fmhoward / HistoXGANLinks
Accurate encoding of histologic images into StyleGAN space for discovery and explainability
☆12Updated this week
Alternatives and similar repositories for HistoXGAN
Users that are interested in HistoXGAN are comparing it to the libraries listed below
Sorting:
- Data and code to accompany our Nature publication☆46Updated 3 years ago
- Code from Foersch et al. (Under Construction / Development)☆37Updated 2 years ago
- A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular state revelation of gliom…☆36Updated 9 months ago
- ☆73Updated 4 months ago
- 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…☆71Updated 7 months ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆42Updated 9 months ago
- ☆56Updated 3 years ago
- GrandQC tool for tissue detection and quality control in pathology☆64Updated 6 months ago
- ☆49Updated 3 years ago
- First commit☆63Updated 3 years ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆32Updated last year
- Pipeline for computational pathology☆38Updated last year
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆54Updated 3 years ago
- Analysis of 3D pathology samples using weakly supervised AI - Cell☆105Updated 8 months ago
- ☆56Updated 2 years ago
- CEll spatial Organization-based graph convolutional network☆26Updated last year
- MOMA☆53Updated last year
- Solid Tumor Associative Modeling in Pathology☆85Updated last week
- ☆45Updated 2 years ago
- machine-readable information for the TCGA dataset, mirrored from other sources☆20Updated 3 years ago
- Histopathology Image Analysis☆92Updated 2 years ago
- A generative toolkit to translate H&E images to multiplexed IHC☆53Updated 9 months ago
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆24Updated last month
- ☆71Updated 4 years ago
- Leveraging Digital Pathology Foundation Models to characterize the tumor microenvironment (TME)☆19Updated 2 months ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆81Updated last year
- Topological Feature Extraction on Whole Slide Images using Graph Neural Networks.☆23Updated 5 years ago
- ☆20Updated 2 years ago
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆45Updated 4 years ago
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆41Updated 4 months ago