| Project-MONAI/monai-deploy |
87 |
|
0 |
0 |
over 2 years ago |
0 |
|
25 |
apache-2.0 |
Shell |
| MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production. |
| AiAiHealthcare/ProjectAiAi |
86 |
|
0 |
0 |
over 5 years ago |
0 |
|
10 |
agpl-3.0 |
Dockerfile |
| AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet. |
| Project-MONAI/monai-deploy-app-sdk |
74 |
|
0 |
0 |
over 2 years ago |
14 |
September 01, 2023 |
60 |
apache-2.0 |
Jupyter Notebook |
| MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain. |
| brianmanderson/Dicom_RT_and_Images_to_Mask |
70 |
|
0 |
0 |
over 2 years ago |
72 |
September 17, 2023 |
2 |
gpl-3.0 |
Python |
| Various utilities created to help with the interpretation of DICOM images and DICOM RT Structures to NumPy masks and Simple-ITK handles/Nifti images. Some necessary steps for deep learning |
| mercure-imaging/mercure |
46 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
mit |
JavaScript |
| mercure DICOM Orchestrator |
| ubern-mia/pyradise |
37 |
|
0 |
0 |
about 2 years ago |
0 |
|
17 |
apache-2.0 |
Python |
| PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion |
| yala/OncoServe_Public |
27 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
mit |
Python |
| Sharing Deep Learning Models for Breast Cancer Risk |
| ben-heil/DICOM-CNN |
26 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
mit |
Python |
| Convolutional neural network solution for deep learning from DICOM images |
| fepegar/awesome-medical-imaging |
26 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
other |
|
| Awesome list of software that I use to do research in medical imaging. |
| bhklab/med-imagetools |
22 |
|
0 |
0 |
over 2 years ago |
21 |
June 25, 2022 |
18 |
gpl-3.0 |
Python |
| Transparent and reproducible medical image processing pipelines in Python. |
