Tuberculosis (TB) Chest X-ray Database

A team of researchers from Qatar University, Doha, Qatar, and the University of Dhaka, Bangladesh along with their collaborators from Malaysia in collaboration with medical doctors from Hamad Medical Corporation and Bangladesh have created a database of chest X-ray images for Tuberculosis (TB) positive cases along with Normal images. In our current release, there are 3500 TB images, and 3500 normal images.Note: The research team managed to classify TB and Normal Chest X-ray images with an accuracy of 98.3%. This scholarly work is published in IEEE Access Link. Please make sure you give credit to us while using the dataset, code, and trained models.Credit should go to the following:Tawsifur Rahman, Amith Khandakar, Muhammad A. Kadir, Khandaker R. Islam, Khandaker F. Islam, Zaid B. Mahbub, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury. "Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization". [Accepted: IEEE Access] [https://arxiv.org/ftp/arxiv/papers/2007/2007.14895.pdf]

搜集汇总

背景与挑战

背景概述

该数据集是一个用于结核病检测的胸部X光图像数据库，包含7000张图像（结核病阳性和正常图像各3500张）。数据集由多国研究团队合作创建，并已在IEEE Access发表相关研究，其基于深度学习的分类准确率达到98.3%，适用于医疗影像分析和人工智能辅助诊断研究。