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<div class="sc-cmRAlD dkqmWS"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-jgvlka jFuPjz"><div class="sc-gzqKSP ktvwwo"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-bMmLMY ZURWJ"><p>The dataset comprises <strong>750+ Brain MRI images</strong> taken from different patients considering whether they have brain stroke or not. The Dataset consists of three subdirectories:</p> |
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<li><strong><em>Normal _ Stroke Patient Details</em></strong> -> This subdirectory consists of 750+ raw Brain MRI images of patients.</li> |
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<li><strong><em>Dataset_MRI_Folder</em></strong> -> This subdirectory consists of 3 more subdirectories called Haemorrhagic, Ischemic and Normal which store the relevant Brain MRI Images.</li> |
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<li><strong><em>Stroke Classification</em></strong> -> This subdirectory is an updated version of <em>Dataset_MRI_Folder</em> as it contains preprocessed MRI scan images without the text over them.</li> |
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</ul> |
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<p>This dataset was created to train an <strong>image classification</strong> model to detect whether an <strong>MRI Image</strong> of a <strong>human brain</strong> consists of **Ischemic** or <strong>Haemorrhagic stroke</strong> if present. </p></div></div></div></div></div> |