基于照片的非流行地区疟疾快速诊断试剂盒外部质量评估

基于照片的疟疾RDT外部质量评估数据集,包含测试线照片和问卷,用于评估非流行地区实验室的读取和解释能力。

NIAID Data Ecosystem
浏览 10
图像、文本EQA10 RDT productsIFUmalaria RDTstest line combinationsfaint-intensity test lines137 RDT productsmalaria diagnosisExternal Quality Assessment
Photo-based External Quality Assessment of Malaria rapid diagnostic tests in a non-endemic setting

基本信息

模态
图像、文本
大小
0.000232822 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

基于照片的非流行地区疟疾快速诊断试剂盒外部质量评估

【一句话概览】

本数据集是 figshare 公开的影像数据集,收录 2 个文件、合计 232.82 KB,主题涵盖 EQA、10 RDT products、IFU、malaria RDTs、test line combinations,可用于医学图像分割、检测与分类模型的训练与评测,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Photo-based External Quality Assessment of Malaria rapid diagnostic tests in a non-endemic setting》。配套论文《Photo-based External Quality Assessment of Malaria rapid diagnostic tests in a non-endemic setting》发表于 PLOS ONE(2018),DOI:10.1371/journal.pone.0201622。源站首次发布:2018-08-31。

【数据内容】

源站原始描述:Introduction In non-endemic settings, expertise in malaria microscopy is limited and rapid diagnostic tests (RDTs) are an adjunct to malaria diagnosis. Aim We performed an External Quality Assessment (EQA) on reading and interpretation of malaria RDTs in a non-endemic setting. Methods Participants were medical laboratories in Belgium and the Grand Duchy of Luxembourg using malaria RDTs; they received (i) 10 high-resolution photographs presenting test line combinations of RDTs with interpretation…

【数据结构与技术规格】

文件数 2 个,合计 232.82 KB。pone.0201622.s001.pdf:application/pdf,216.84 KB。pone.0201622.s002.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,15.98 KB。数据集 DOI:10.1371/journal.pone.0201622。

【主题与分类】

源站学科分类:Medicine、Neuroscience、Biotechnology、Cancer、Science Policy、Infectious Diseases。主题标签:EQA、10 RDT products、IFU、malaria RDTs、test line combinations、faint-intensity test lines、137 RDT products、malaria diagnosis、External Quality Assessment。

【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://plos.figshare.com/articles/dataset/Photo-based_External_Quality_Assessment_of_Malaria_rapid_diagnostic_tests_in_a_non-endemic_setting/7036220

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Vernelen, Kris; Barbé, Barbara; Gillet, Philippe; Van Esbroeck, Marjan; China, Bernard; Jacobs, Jan (2018). Photo-based External Quality Assessment of Malaria rapid diagnostic tests in a non-endemic setting. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-01,引用时请注意版本时效。

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 "pone.0201622.s001.pdf" "https://ndownloader.figshare.com/files/12929513"
curl -L -o "pone.0201622.s002.docx" "https://ndownloader.figshare.com/files/12929516"

文件清单

  • pone.0201622.s001.pdf(216.84 KB)
  • pone.0201622.s002.docx(15.98 KB)

文件总体积 232.82 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

Introduction
In non-endemic settings, expertise in malaria microscopy is limited and rapid diagnostic tests (RDTs) are an adjunct to malaria diagnosis.
Aim
We performed an External Quality Assessment (EQA) on reading and interpretation of malaria RDTs in a non-endemic setting.
Methods
Participants were medical laboratories in Belgium and the Grand Duchy of Luxembourg using malaria RDTs; they received (i) 10 high-resolution photographs presenting test line combinations of RDTs with interpretations listed in a multiple choice format and (ii) a questionnaire about their practices of malaria diagnosis.
Results
Among 135 subscribing laboratories, 134 (99.3%) used 139 RDT products (11 different products from 8 brands). After exclusion of the results of one laboratory, analysis was done for 133 laboratories using 137 RDT products. Scores of 10/10, 9/10 and 8/10 were achieved for 58.4%, 13.1% and 8.0% of 137 RDT products respectively. For three-band P. falciparum–pan-Plasmodium RDTs (113 (82.5%) products, 6 brands), most frequent errors were (1) disregarding faint test lines (18.6%), (2) reporting invalid instead of P. falciparum (16.8%) and (3) reporting “Plasmodium spp., no further differentiation possible” without mentioning the presence or absence of P. falciparum (11.5%). For four-band RDTs (21 (15.3%) products, 1 brand), errors were (4) disregarding faint P. vivax test lines (47.6%) and (5) reporting “Plasmodium spp., no further differentiation possible” without mentioning the presence of P. falciparum and P. vivax (28.6%). Instructions for use (IFU) of only 4 out of 10 RDT products mentioned to interpret faint-intensity test lines as positive (conducive to errors 1 and 4) and IFU of 2 products displayed incorrect information (conducive to errors 2 and 5). Outside of office hours, 36.1% of participants relied on RDTs as the initial diagnostic test; 13.9% did not perform microscopic confirmation.
Conclusion
Reading and interpretation of malaria RDTs was satisfactory, but errors were embedded in the instructions for use of the products. Relying on RDTs alone for malaria diagnosis (about one third of participants) is not a recommended practice.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0201622(source: https://plos.figshare.com/articles/dataset/Photo-based_External_Quality_Assessment_of_Malaria_rapid_diagnostic_tests_in_a_non-endemic_setting/7036220)。

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