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-<div class="sc-kdrUpr eZtUed"><div class="sc-UEtKG dGqiYy sc-hDzlxo bEIZRR"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"></div></div></div><div class="sc-fHzVOS cUYeeo"><div class="sc-davvxH flNyFK"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-jCNfQM igJSrG"><p><strong><em><em></em></em></strong><strong><em><strong>Tuberculosis (TB) Chest X-ray Database</strong></em></strong><strong><em></em></strong><br>
+<div class="sc-kdrUpr eZtUed"><div class="sc-UEtKG dGqiYy sc-hDzlxo bEIZRR"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"></div></div></div><div class="sc-fHzVOS cUYeeo"><div class="sc-davvxH flNyFK"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-jCNfQM igJSrG"><p><strong><em><em></em></em></strong><strong><em><h2>Tuberculosis (TB) Chest X-ray Database</h2></em></strong><strong><em></em></strong><br>
 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 700 TB images publicly accessible and 2800 TB images can be downloaded from NIAID TB portal[3] by signing an agreement, and 3500 normal images. </p>
 <p>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. Please make sure you give credit to us while using the dataset, code, and trained models.</p>
 <p><strong>Credit should go to the following:</strong><br>