| owkin/FLamby |
177 |
|
0 |
0 |
over 2 years ago |
0 |
|
23 |
mit |
Python |
| Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard. |
| aildnont/covid-cxr |
94 |
|
0 |
0 |
almost 5 years ago |
0 |
|
7 |
mit |
Python |
| Neural network model for classifying chest X-rays by presence of COVID-19 features |
| McJackTang/MMPD_rPPG_dataset |
75 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Python |
| MMPD: Multi-Domain Mobile Video Physiology Dataset(EMBC2023 Oral) |
| nhs-r-community/NHSRdatasets |
60 |
|
0 |
0 |
over 2 years ago |
4 |
March 14, 2021 |
8 |
cc0-1.0 |
R |
| NHS and healthcare related datasets for training and learning R |
| AakashKumarNain/skin_cancer_detection |
56 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| Detecting cancers on mobile phones |
| nickls/awesome-healthcare-datasets |
54 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
|
| A curated list of awesome healthcare datasets in the public domain. |
| leandromineti/awesome-healthmetrics |
52 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
|
| A curated list of awesome resources at the intersection of healthcare and AI |
| usuyama/ePillID-benchmark |
48 |
|
0 |
0 |
about 4 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3) |
| AlexSWong/COVID-Net |
43 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global multi-disciplinary team of researchers, developers, and clinicians have made publicly available a suite of tailored deep neural network models for tackling different challenges ranging from screening to risk stratification to treatment planning for patients with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, we have made available fully curated, open access benchmark datasets comprised of some of the largest, most diverse patient cohorts from around the world. |
| cuilimeng/CoAID |
32 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
|
|
