cpath-ukk / lung_cancerLinks
☆17Updated 11 months ago
Alternatives and similar repositories for lung_cancer
Users that are interested in lung_cancer are comparing it to the libraries listed below
Sorting:
- ☆15Updated 10 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…☆79Updated 10 months ago
- ☆20Updated 3 years ago
- GrandQC tool for tissue detection and quality control in pathology☆76Updated 9 months ago
- QuPath extension to work with WSInfer - https://wsinfer.readthedocs.io/☆27Updated 3 weeks ago
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆44Updated last year
- Pipeline for computational pathology☆37Updated last year
- Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning☆30Updated 5 years ago
- Re-stained whole slide image alignment☆36Updated 2 years ago
- A pan-cancer platform for mutation prediction from routine histology☆69Updated 4 years ago
- Solid Tumor Associative Modeling in Pathology☆103Updated 3 weeks ago
- Code from Foersch et al. (Under Construction / Development)☆38Updated 2 years ago
- Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometria…☆52Updated last year
- machine-readable information for the TCGA dataset, mirrored from other sources☆21Updated 3 years ago
- Tools to build deep learning pipelines.☆112Updated last year
- sc-MTOP is an analysis framework based on deep learning and computational pathology. This framework aims to characterize the tumor ecosys…☆44Updated 7 months ago
- A Python library for deep learning on whole-slide images☆53Updated 4 years ago
- ☆15Updated last year
- 🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images☆84Updated last year
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆84Updated last year
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆32Updated last year
- ☆50Updated 3 years ago
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆29Updated last year
- Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis☆77Updated 5 years ago
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated last year
- 🔬 Code-free deep segmentation for computational pathology☆56Updated last year
- Exploring prognostic indicators in pathological images of hepatocellular carcinoma based on deep learning☆45Updated 5 years ago
- CEll spatial Organization-based graph convolutional network☆26Updated last year
- ☆19Updated 2 years ago
- Image-translation-assisted segmentation in 3D☆27Updated 3 years ago