FeTS-AI / Front-EndLinks
Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/
☆93Updated 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☆56Updated 4 months ago
- Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: h…☆195Updated 2 years ago
- Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.☆98Updated 4 months ago
- Federated Learning for Computational Pathology - Medical Image Analysis☆50Updated 3 years ago
- Preprocessing 3D medical images and image archives —geared towards prostate cancer detection in MRI.☆27Updated 10 months ago
- Precision medicine toolbox☆70Updated last year
- Latex template for the MIDL Conference☆65Updated 2 months ago
- ☆23Updated 3 years ago
- The RISE Journal Club aims to create a friendly environment to discuss the latest state-of-the-art papers in the areas of medical image …☆69Updated 2 months ago
- Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN …☆35Updated 5 years ago
- Docker for running stroke lesion core segmentation☆30Updated 5 years ago
- Software for automatic segmentation and generation of standardized clinical reports of brain tumors from MRI volumes☆43Updated last week
- Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder str…☆43Updated 3 years ago
- Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021☆82Updated 3 years ago
- pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis☆61Updated last year
- Robust Brain Extraction Tool for CT Head Images☆51Updated 5 years ago
- Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models☆129Updated last year
- MIST: A simple and scalable end-to-end framework for 3D medical imaging segmentation.☆53Updated 3 weeks ago
- PyTorch implementation of HighRes3DNet☆54Updated 6 months ago
- A generalizable application framework for segmentation, regression, and classification using PyTorch☆189Updated 5 months ago
- [AVI 2020] UTA4: Medical Imaging DICOM files dataset.☆17Updated 5 years ago
- Official Implementation of ECONet: Efficient Convolutional Online Likelihood Network for Interactive Segmentation☆18Updated 2 years ago
- some resources on my path in deep learning and medical image analysis☆40Updated 6 months ago
- [Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)☆58Updated 3 years ago
- Brain Lesion Analysis and Segmentation Tool for Computed Tomography☆74Updated 2 years ago
- Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]☆40Updated 2 years ago
- Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural networ…☆33Updated 5 years ago
- AIDE: Annotation-efficient deep learning for automatic medical image segmentation☆55Updated 4 years ago
- ☆82Updated 2 years ago
- This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different …☆106Updated 5 years ago