哥伦比亚机器人心脏手术:克服中等收入环境的挑战
哥伦比亚首次机器人心脏手术案例数据集,描述克服中低收入环境挑战的经验。

基本信息
资源简介
哥伦比亚机器人心脏手术:克服中等收入环境的挑战
【数据集背景】
本数据集源站标题为《Robotic Cardiac Surgery in Colombia: Overcoming the Challenges of a Middle-income Setting》。配套论文《Robotic Cardiac Surgery in Colombia: Overcoming the Challenges of a Middle-income Setting》发表于 Brazilian Journal of Cardiovascular Surgery(2020),DOI:10.21470/1678-9741-2020-0064。源站首次发布:2021-03-24。
【数据内容】
源站原始描述:Abstract In developing countries, limited resources and low health budgets result in slow developments in the field of cardiac surgery. As a consequence, advances in surgery become a challenging process. In Colombia, most institutions do not have the capacity or infrastructure for minimally invasive and video-assisted cardiac surgery, let alone robotic assisted cardiac surgery (RACS). Despite the challenges, efforts to overcome these hurdles are critical for the future of cardiac surgery in low-…
【数据结构与技术规格】
文件数 4 个,合计 919.02 KB。数据集 DOI:10.6084/m9.figshare.14281868.v1。
【主题与分类】
源站学科分类:Cardiology、Surgery。主题标签:Robotic Surgical Procedures、Robotics, Cardiac Surgical Procedures, Colombia、Health Resources, Poverty。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://scielo.figshare.com/articles/dataset/Robotic_Cardiac_Surgery_in_Colombia_Overcoming_the_Challenges_of_a_Middle-income_Setting/14281868
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Andrade, Darío; Vinck, Eric E.; Parra, Juan F.; Balkhy, Husam H.; Núñez, Federico (2020). Robotic Cardiac Surgery in Colombia: Overcoming the Challenges of a Middle-income Setting. SciELO journals. Dataset
【使用注意】
· 源站最后修改于 2023-05-30,引用时请注意版本时效。
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:Robotic Cardiac Surgery in Colombia: Overcoming the Challenges of a Middle-income Setting
- DOI:10.6084/m9.figshare.14281868.v1
- 发布日期:2021-03-24
- 文件数:4 个
- 文件总体积:919.02 KB
- 源站页面:https://scielo.figshare.com/articles/dataset/Robotic_Cardiac_Surgery_in_Colombia_Overcoming_the_Challenges_of_a_Middle-income_Setting/14281868
命令行下载
curl -L -o "0102-7638-rbccv-35-06-0990-gf01.jpg" "https://ndownloader.figshare.com/files/27118271"
curl -L -o "0102-7638-rbccv-35-06-0990-gf02.jpg" "https://ndownloader.figshare.com/files/27118274"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/27118277"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/27118280"
文件清单
0102-7638-rbccv-35-06-0990-gf01.jpg(426.83 KB)0102-7638-rbccv-35-06-0990-gf02.jpg(480.93 KB)Table_1.xls(5.63 KB)Table_2.xls(5.63 KB)
文件总体积 919.02 KB(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
Abstract In developing countries, limited resources and low health budgets result in slow developments in the field of cardiac surgery. As a consequence, advances in surgery become a challenging process. In Colombia, most institutions do not have the capacity or infrastructure for minimally invasive and video-assisted cardiac surgery, let alone robotic assisted cardiac surgery (RACS). Despite the challenges, efforts to overcome these hurdles are critical for the future of cardiac surgery in low-income settings. Here we describe the first cases of robotic cardiac surgeries performed in Colombia.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.14281868.v1(source: https://scielo.figshare.com/articles/dataset/Robotic_Cardiac_Surgery_in_Colombia_Overcoming_the_Challenges_of_a_Middle-income_Setting/14281868)。
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。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




