Cholec80-CVS 安全关键视图数据集

开放腹腔镜胆囊切除术视频数据集,含专家标注的安全关键视图(CVS)标准,用于AI辅助手术安全评估。

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2023-04-05 更新
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医学影像Laparoscopic cholecysectomysurgery predictionStrasberg''s criteriaVideo annotationsCholec80Image processing
Cholec80-CVS: An open dataset with an evaluation of Strasberg's critical view of safety for Artificial Intelligence

基本信息

模态
医学影像
大小
0.000024816 GB
许可
CC0
创建/更新时间
2023-04-05
版本
v1

资源简介

Cholec80-CVS 安全关键视图数据集

【数据集背景】

本数据集源站标题为《Cholec80-CVS: An open dataset with an evaluation of Strasberg''s critical view of safety for Artificial Intelligence》。源站首次发布:2023-04-05。

【数据内容】

源站原始描述:Strasberg''s criteria to detect a critical view of safety is a widely known strategy to reduce bile duct injuries during laparoscopic cholecystectomy. In spite of its popularity and efficiency, recent studies have shown that human miss-identification errors have led to important bile duct injuries occurrence rates. Developing tools based on artificial intelligence that facilitate the identification of a critical view of safety in cholecystectomy surgeries can potentially minimize the risk of such…

【数据结构与技术规格】

文件数 1 个,合计 24.82 KB。cholec80-CVS.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,24.82 KB。数据集 DOI:10.6084/m9.figshare.22183885.v1。

【主题与分类】

源站学科分类:Surgery、Artificial Intelligence and Image Processing。主题标签:Laparoscopic cholecysectomy、surgery prediction、Strasberg''s criteria、Video annotations、Cholec80、Image processing。

【适用方向】

影像类数据可用于医学图像分析模型(检测、分割、分类)的训练与评测,也可用于标注质量与成像参数相关性的研究。

【获取与许可】

源站页面:https://springernature.figshare.com/articles/dataset/Cholec80-CVS_An_open_dataset_with_an_evaluation_of_Strasberg_s_critical_view_of_safety_for_Artificial_Intelligence/22183885

使用许可:CC0(https://creativecommons.org/publicdomain/zero/1.0/)。

规范引用:Ríos, Manuel Sebastián; Guillén, Camilo Andrés; Giraldo, Luis Felipe; Molina, María Alejandra; Londono, Daniella; Zapata, Sebastián; et al. (2023). Cholec80-CVS: An open dataset with an evaluation of Strasberg''s critical view of safety for Artificial Intelligence. figshare. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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)

命令行下载

curl -L -o "cholec80-CVS.xlsx" "https://ndownloader.figshare.com/files/39419062"

文件清单

  • cholec80-CVS.xlsx(24.82 KB)

文件总体积 24.82 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

Strasberg’‘s criteria to detect a critical view of safety is a widely known strategy to reduce bile duct injuries during laparoscopic cholecystectomy. In spite of its popularity and efficiency, recent studies have shown that human miss-identification errors have led to important bile duct injuries occurrence rates. Developing tools based on artificial intelligence that facilitate the identification of a critical view of safety in cholecystectomy surgeries can potentially minimize the risk of such injuries. With this goal in mind, we present Cholec80-CVS, the first open dataset with video annotations of Strasberg’'s Critical View of Safety (CVS) criteria. Our dataset contains CVS criteria annotations provided by skilled surgeons for all videos in the well-known Cholec80 open video dataset. We consider that Cholec80-CVS is the first step towards the creation of intelligent systems that can assist humans during laparoscopic cholecystectomy.

许可

CC0

引用

学术使用请引用 DOI 10.6084/m9.figshare.22183885.v1(source: https://springernature.figshare.com/articles/dataset/Cholec80-CVS_An_open_dataset_with_an_evaluation_of_Strasberg_s_critical_view_of_safety_for_Artificial_Intelligence/22183885)。

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。

获取专属数据定制方案