加纳医疗任务每日视频博客:2019年2月23日至3月1日
来自加纳医疗任务的每日视频博客,记录心脏外科手术团队2019年的经验,旨在提高对欠发达地区心脏手术可及性的认识。

基本信息
资源简介
加纳医疗任务每日视频博客:2019年2月23日至3月1日
【数据集背景】
本数据集源站标题为《A Daily Video Blog From a Medical Mission to Ghana: February 23 to March 1, 2019》。源站首次发布:2019-03-13。
【数据内容】
源站原始描述:When we saw Dr Farkas'' video on her experience in Nigeria, which was posted on CTSNet in 2017 [1], it made us feel that we needed to help in some way, and Dr Akowuah brought together a team of 12 people to embark on the task of setting up a medical mission to Kumasi, where his parents grew up. Now a year later, we are about to set off on our first mission, and we want to share our experience in the hope that it might stimulate you to think about whether you and your team might want to embark on…
【数据结构与技术规格】
文件数 10 个,合计 9.22 GB。数据集 DOI:10.25373/ctsnet.7800200.v1。
【主题与分类】
源站学科分类:Surgery。主题标签:Cardiac Surgery、Surgical Volunteerism、Surgical Mission、Medical Mission、Mitral Valve、Mitral Valve Replacement、Pacemaker、Surgery。
【适用方向】
多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。
【获取与许可】
源站页面:https://ctsnet.figshare.com/articles/dataset/A_Daily_Video_Blog_From_a_Medical_Mission_to_Ghana_February_23_to_March_1_2019/7800200
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Dunning, Joel; Akowuah, Enoch; Farkas, Emily (2019). A Daily Video Blog From a Medical Mission to Ghana: February 23 to March 1, 2019. CTSNet, Inc. Dataset
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:A Daily Video Blog From a Medical Mission to Ghana: February 23 to March 1, 2019
- DOI:10.25373/ctsnet.7800200.v1
- 发布日期:2019-03-13
- 文件数:10 个
- 文件总体积:9.22 GB
- 源站页面:https://ctsnet.figshare.com/articles/dataset/A_Daily_Video_Blog_From_a_Medical_Mission_to_Ghana_February_23_to_March_1_2019/7800200
命令行下载
curl -L -o "Medical Misison to Ghana Introduction.mp4" "https://ndownloader.figshare.com/files/14525060"
curl -L -o "Medical Mission to Ghana - Day 0 .mp4" "https://ndownloader.figshare.com/files/14525066"
curl -L -o "Medical Mission to Ghana - Day 1.mp4" "https://ndownloader.figshare.com/files/14525072"
curl -L -o "Medical Mission to Ghana - Day 2 .mp4" "https://ndownloader.figshare.com/files/14525075"
curl -L -o "Medical Mission to Ghana - Day 3.mp4" "https://ndownloader.figshare.com/files/14525081"
curl -L -o "Medical Mission to Ghana - Day 4 - Part 1.mp4" "https://ndownloader.figshare.com/files/14525084"
curl -L -o "Medical Mission to Ghana - Day 4 - Part 2.mp4" "https://ndownloader.figshare.com/files/14525093"
curl -L -o "Medical Mission to Ghana - Day 5.mp4" "https://ndownloader.figshare.com/files/14525099"
文件清单
Medical Misison to Ghana Introduction.mp4(405.15 MB)Medical Mission to Ghana - Day 0 .mp4(947.39 MB)Medical Mission to Ghana - Day 1.mp4(1.58 GB)Medical Mission to Ghana - Day 2 .mp4(671.82 MB)Medical Mission to Ghana - Day 3.mp4(903.89 MB)Medical Mission to Ghana - Day 4 - Part 1.mp4(774.08 MB)Medical Mission to Ghana - Day 4 - Part 2.mp4(689.06 MB)Medical Mission to Ghana - Day 5.mp4(2.64 GB)Medical Mission to Ghana - BBC Report.mp4(463.34 MB)Medical Mission to Ghana - Traveling Home.mp4(147.77 MB)
文件总体积 9.22 GB(源站 API 实测)。
数据加载示例(图像类)
from PIL import Image
import glob, os
files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)
# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path) # 要求 子目录=类别
目录组织与标注格式以源站说明和下载后实际文件为准。
数据说明
When we saw Dr Farkas’’ video on her experience in Nigeria, which was posted on CTSNet in 2017 [1], it made us feel that we needed to help in some way, and Dr Akowuah brought together a team of 12 people to embark on the task of setting up a medical mission to Kumasi, where his parents grew up.
Now a year later, we are about to set off on our first mission, and we want to share our experience in the hope that it might stimulate you to think about whether you and your team might want to embark on missions to underserved areas of the world.
It is an unsettling fact that Ghana, with a population of 28 million people, has only one functioning cardiothoracic center in Accra, the capital, in the far south of the country. This unit itself struggles for funding and performs around 230 cardiothoracic operations per year, of which around 70% are congenital heart surgery and only 20% are for adult rheumatic heart disease. Although the unit serves the whole population of Ghana, over a 10-year period it has performed only 100 mechanical valve replacements, mainly in patients who are able to self-fund [2].
The incidence of acute rheumatic fever in Ghana is very high. Thirteen percent of the population are throat carriers of Group A Streptococcus and up to 40% of carriers go on to develop rheumatic heart disease.
In a study conducted at Komfo Anokye Teaching Hospital (KATH) in Kumasi, rheumatic heart disease accounted for 22% of all admissions with heart failure, with the Western condition of ischemic heart disease accounting for only 4% of cases. The median age of the patients admitted with heart failure secondary to rheumatic heart disease is just 29 years old. Of all deaths in this hospital, 29% are due to heart failure. No patients receive surgery for their rheumatic heart disease [3].
Therefore, the mission’s aim is to firstly establish a regular program of cardiac surgical missions to KATH, commencing with our first mission from February 23 to March 1, 2019, and then a second mission from the October 19 to 27, 2019. Hopefully this will establish a link, and the possibility of doing further regular missions thereafter in 2020 and beyond. It is also an aspiration to support
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.25373/ctsnet.7800200.v1(source: https://ctsnet.figshare.com/articles/dataset/A_Daily_Video_Blog_From_a_Medical_Mission_to_Ghana_February_23_to_March_1_2019/7800200)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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