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+<div class="sc-jegwdG lhLRCf"><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-davvxH eCVTlP"><div class="sc-jCNfQM ikRdXB"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-gVIFzB gQKGyV"><p>Ovarian carcinoma is the most lethal cancer of the female reproductive system. There are five common subtypes of ovarian cancer: high-grade serous carcinoma, clear-cell ovarian carcinoma, endometrioid, low-grade serous, and mucinous carcinoma. Additionally, there are several rare subtypes ("Outliers"). These are all characterized by distinct cellular morphologies, etiologies, molecular and genetic profiles, and clinical attributes. Subtype-specific treatment approaches are gaining prominence, though first requires subtype identification, a process that could be improved with data science.</p>
+<p>Dataset Contains 5 Subtypes of Ovarian Cancer , we have to create a deep learning model to classify cancer subtypes.  </p>
+<p>Subtypes of Ovarian Cancer:<br>
+1) HGSC - High-Grade Serous Carcinoma<br>
+2) CC - Clear-Cell Ovarian Carcinoma<br>
+3) EC - Endometrioid<br>
+4) LGSC -  Low-Grade Serous<br>
+5) MC - Mucinous Carcinoma</p></div></div></div></div></div>
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