基于胸部X光片的CAD4TB人工智能肺结核预测数据集

Name: 基于胸部X光片的CAD4TB人工智能肺结核预测数据集
Creator: Latifa, Ariestiana Ayu Ananda; Putrirana, Khansa; Rezkia Andini, Salsabila; Wulandari, Listi; Akbar, Ihya; Handayani, Raden Rara Diah; Rahadhi, Anandya Naufal; Ilham, Ahmad Fadhil; Maryastuti, Maryastuti; Burhan, Erlina; Prasetio Wardoyo, Muhammad; Bhaskara, Gde Ngurah Irfan
License: CC BY 4.0

印尼医院胸片肺结核数据，用于评估CAD4TB人工智能与放射科专家诊断性能的比较研究。

Latifa, Ariestiana Ayu Ananda; Putrirana, Khansa; Rezkia Andini, Salsabila; Wulandari, Listi; Akbar, Ihya; Handayani, Raden Rara Diah; Rahadhi, Anandya Naufal; Ilham, Ahmad Fadhil; Maryastuti, Maryastuti; Burhan, Erlina; Prasetio Wardoyo, Muhammad; Bhaskara, Gde Ngurah Irfan

Figshare

2025-10-30 更新

医学影像Artificial intelligenceCAD4TBChest x-rayHospital settingPulmonary tuberculosis

Pulmonary tuberculosis prediction using CAD4TB artificial intelligence (computer-aided detection for tuberculosis) based on thoracic x-ray photos among Indonesian subjects in hospital - Data for Publication

基本信息

模态

医学影像

大小

0.002551309 GB

许可

CC BY 4.0

创建/更新时间

2025-10-30

版本

资源简介

基于胸部X光片的CAD4TB人工智能肺结核预测数据集

【数据集背景】

本数据集源站标题为《Pulmonary tuberculosis prediction using CAD4TB artificial intelligence (computer-aided detection for tuberculosis) based on thoracic x-ray photos among Indonesian subjects in hospital - Data for Publication》。源站首次发布：2025-10-30。

【数据内容】

源站原始描述：Tuberculosis is still one of the world’s leading infectious diseases, especially in countries like Indonesia where many cases go undetected due to limited access to expert medical imaging professionals. In this study, we explored whether a computer system called CAD4TB, which uses artificial intelligence to read chest X-rays, could help identify people with tuberculosis in a hospital setting. We compared its performance to experienced radiologists and used laboratory tests to confirm the results…

【数据结构与技术规格】

文件数 9 个，合计 2.55 MB。RAIT_Data for Publication_Coded.xlsx：application/vnd.openxmlformats-officedocument.spreadsheetml.sheet，281.51 KB。Output New Dataset - 20251020.spv：application/java-archive，157.22 KB。New Dataset - 20251020.sav：application/octet-stream，64.67 KB。数据集 DOI：10.6084/m9.figshare.29142734.v2。

【主题与分类】

源站学科分类：Infectious diseases、Radiology and organ imaging、Diagnostic radiography。主题标签：Artificial intelligence、CAD4TB、Chest x-ray、Hospital setting、Pulmonary tuberculosis。

【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://figshare.com/articles/dataset/Pulmonary_tuberculosis_prediction_using_CAD4TB_artificial_intelligence_computer-aided_detection_for_tuberculosis_based_on_thoracic_x-ray_photos_among_Indonesian_subjects_in_hospital_-_Data_for_Publication/29142734

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

规范引用：Burhan, Erlina; Maryastuti, Maryastuti; Wulandari, Listi; Handayani, Raden Rara Diah; Rezkia Andini, Salsabila; Rahadhi, Anandya Naufal; et al. (2025). Pulmonary tuberculosis prediction using CAD4TB artificial intelligence (computer-aided detection for tuberculosis) based on thoracic x-ray photos am…

原始链接

https://figshare.com/articles/dataset/Pulmonary_tuberculosis_prediction_using_CAD4TB_artificial_intelligence_computer-aided_detection_for_tuberculosis_based_on_thoracic_x-ray_photos_among_Indonesian_subjects_in_hospital_-_Data_for_Publication/29142734/2

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