Merge branch 'main' of https://github.com/Ecs170Group21/Ecs170Group21…

….github.io

docs/about.html

@@ -41,23 +41,32 @@ <h3 class="w3-center">ABOUT OUR BRAIN TUMOR RECOGNITION</h3>
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         <i class="fa fa-search w3-margin-bottom w3-jumbo w3-center"></i>
-		<p class="w3-large">Detection</p>
-        <p>Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore.</p>
+		<p class="w3-large">Purpose</p>
+        <p>
+          As artificial intelligence continues to be developed and improved upon, it has become an important resource that helps medical professionals diagnose different types of diseases. Our model aids neurologists in identifying brain tumors, which is important for early and accurate detection to ensure proper treatment before the condition worsens. With most tumors, when caught at a low grade, they are usually benign and the intervention is more likely to result in permanent removal of all the cancerous cells. If caught later, at a higher grade, the tumor is more likely to be malignant and is tougher to treat. This highlights the importance of our model, as it allows for quick and accurate classification in order to save time and reduce misdiagnoses.
+        </p>
       </div>
       <div class="w3-quarter">
-        <i class="fa fa-brain w3-margin-bottom w3-jumbo"></i>
-		<p class="w3-large">Analysis</p>
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+        <i class="fa fa-image w3-margin-bottom w3-jumbo"></i>
+		<p class="w3-large">Dataset</p>
+        <p>
+          Our dataset contains 3064 images from 233 patients with three types of brain tumors. There are 708 images containing meningioma, 1426 images containing glioma, and 930 images containing pituitary tumors. Each image contains a label indicating the type of tumor (1 for meningioma, 2 for glioma, 3 for pituitary tumor), a patient ID, a vector that contains the coordinates of the tumor border, and a tumor mask, or binary image with 1s indicating the tumor region. 
+        </p>
       </div>
       <div class="w3-quarter">
-        <i class="fa fa-image w3-margin-bottom w3-jumbo"></i>
-		<p class="w3-large">Design</p>
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+        <i class="fa fa-brain w3-margin-bottom w3-jumbo"></i>
+		<p class="w3-large">Detection</p>
+        <p>
+          Our model is able to detect three different kinds of tumors: meningioma, glioma, and pituitary. Each of these are located in the brain, and can have severe effects if not diagnosed early enough. Meningiomas and gliomas are located in the central nervous system, and pituitary tumors are located in the pituitary gland, which affects hormone production. 
+          ***(ADD a few sentences about the model (methodology))***.
+        </p>
       </div>
       <div class="w3-quarter">
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-        <p class="w3-large">Support</p>
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+        <p class="w3-large">Results</p>
+        <p>
+          ***Insert short paaragraph about accuracy of the model the results we recieved after training it.*** 
+        </p>
       </div>
     </div>
   </div>