kmboehm / orpheus
☆13Updated 2 months ago
Alternatives and similar repositories for orpheus:
Users that are interested in orpheus are comparing it to the libraries listed below
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆39Updated 4 months ago
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆26Updated last year
- machine-readable information for the TCGA dataset, mirrored from other sources☆20Updated 2 years ago
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆68Updated last year
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆33Updated 5 months ago
- ☆52Updated last year
- GrandQC tool for tissue detection and quality control in pathology☆44Updated 2 months ago
- ☆55Updated 3 years ago
- Solid Tumor Associative Modeling in Pathology☆73Updated this week
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆26Updated last year
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆43Updated last year
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆19Updated 10 months ago
- ☆20Updated 2 years ago
- ☆27Updated 2 years ago
- CEll spatial Organization-based graph convolutional network☆26Updated last year
- Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs m…☆17Updated this week
- A generative toolkit to translate H&E images to multiplexed IHC☆41Updated 4 months ago
- ☆35Updated 2 years ago
- End-to-end pipeline to go from raw H&E slides to normalised extracted features for training☆25Updated last year
- Code from Foersch et al. (Under Construction / Development)☆36Updated last year
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆42Updated 4 years 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…☆60Updated 3 months ago
- First commit☆61Updated 2 years ago
- Tools to build deep learning pipelines.☆100Updated 5 months ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆25Updated last year
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆29Updated 11 months ago
- A pan-cancer platform for mutation prediction from routine histology☆68Updated 3 years ago
- Efficient Approach for Guided Local Examination in Digital Pathology☆19Updated this week
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆37Updated last week
- This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.☆67Updated last month