FeTS-AI / Front-EndLinks
Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/
☆88Updated last year
Alternatives and similar repositories for Front-End
Users that are interested in Front-End are comparing it to the libraries listed below
Sorting:
- The repo for the FeTS Challenge☆50Updated 2 months ago
- Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.☆86Updated 9 months ago
- Federated Learning for Computational Pathology - Medical Image Analysis☆49Updated 3 years ago
- A generalizable application framework for segmentation, regression, and classification using PyTorch☆177Updated last week
- Robust Brain Extraction Tool for CT Head Images☆46Updated 4 years ago
- The source code of FedDis☆21Updated 3 years ago
- PyTorch implementation of HighRes3DNet☆54Updated last year
- Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: h…☆190Updated last year
- Automatic end-to-end lung tumor segmentation from CT images.☆31Updated last year
- A complete pipeline for BraTS 2020☆56Updated 3 years ago
- Code for implementation of Unlearning Scanner Bias for MRI Harmonisation☆28Updated 4 years ago
- Docker for running stroke lesion core segmentation☆29Updated 4 years ago
- Materials for the 2021 MONAI Bootcamp☆109Updated 3 years ago
- fitushar / WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-FeatureThis Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolu…☆25Updated 5 years ago
- Multimodal Brain Tumor Segmentation using BraTS 2018 Dataset.☆48Updated 4 years ago
- This repository contains code used to prepare the LUMIERE Glioblastoma dataset.☆26Updated last year
- Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder str…☆43Updated 3 years ago
- ☆47Updated last year
- Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN …☆34Updated 4 years ago
- Brain extraction in presence of abnormalities, using single and multiple MRI modalities☆36Updated 3 months ago
- This repository contains the code used for the paper "Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and …☆31Updated 2 years ago
- Preprocessing 3D medical images and image archives —geared towards prostate cancer detection in MRI.☆22Updated 3 months ago
- Precision medicine toolbox☆70Updated last year
- Workflow for Optimal Radiomics Classification☆75Updated 2 weeks ago
- Transparent and reproducible medical image processing pipelines in Python.☆47Updated last week
- End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Ma…☆69Updated 4 years ago
- Automated deep-learning based brain tumor segmentation on MRI☆31Updated 2 years ago
- ☆50Updated last year
- Machine learning models for multi-organ, multi-disease prediction in chest CT volumes. From paper Draelos et al. "Machine-Learning-Based …☆34Updated 2 years ago
- Multi-class U-Net for head CT segmentation☆34Updated 3 weeks ago