Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Awesome_chinese_medical_nlp | 1,411 | 2 months ago | ||||||||
中文医学NLP公开资源整理:术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc | ||||||||||
Medical Imaging Datasets | 1,300 | a year ago | ||||||||
A list of Medical imaging datasets. | ||||||||||
Medical_nlp | 1,264 | 14 days ago | 2 | |||||||
Medical NLP Competition, dataset, large models, paper 医疗NLP领域 比赛,数据集,大模型,论文,工具包 | ||||||||||
Medmnist | 701 | 2 months ago | 3 | May 06, 2022 | 2 | apache-2.0 | Python | |||
18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification: pip install medmnist | ||||||||||
Torchxrayvision | 626 | 2 days ago | 33 | March 06, 2022 | 24 | apache-2.0 | Jupyter Notebook | |||
TorchXRayVision: A library of chest X-ray datasets and models. | ||||||||||
Medical Datasets | 545 | 3 months ago | 3 | |||||||
tracking medical datasets, with a focus on medical imaging | ||||||||||
Pytorch Medical Segmentation | 536 | 10 months ago | 3 | mit | Python | |||||
This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D. | ||||||||||
Chinese Nlp Corpus | 378 | 2 years ago | 1 | Python | ||||||
Collections of Chinese NLP corpus | ||||||||||
Unet | 249 | 21 days ago | 5 | apache-2.0 | Jupyter Notebook | |||||
U-Net Biomedical Image Segmentation | ||||||||||
Medquad | 204 | 2 months ago | 3 | |||||||
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites |
A real-world Chinese medical question answering dataset collected from online health consultancy websites. Our paper
Train | Dev | Test | |
---|---|---|---|
Questions | 50610 | 6337 | 6337 |
Avg length | 86.68 | 87.43 | 86.08 |
Answers | 253050 | 21685 | 31685 |
Avg length | 146.88 | 147.74 | 148.50 |
Each question has 1 positive and 4 negative answers. A sample:
Please read our paper for more detail.
@article{he2019applying,
title={Applying deep matching networks to Chinese medical question answering: A study and a dataset},
author={He, Junqing and Fu, Mingming and Tu, Manshu},
journal={BMC Medical Informatics and Decision Making},
volume={19},
number={2},
pages={52},
year={2019},
doi={10.1186/s12911-019-0761-8}
}