<?xml version="1.0" encoding="UTF-8"?>
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<title>Jabesh Philip</title>
<link href="http://hdl.handle.net/123456789/9916" rel="alternate"/>
<subtitle>Skin Cancer Detection Using Image Processing</subtitle>
<id>http://hdl.handle.net/123456789/9916</id>
<updated>2026-04-16T18:06:32Z</updated>
<dc:date>2026-04-16T18:06:32Z</dc:date>
<entry>
<title>Skin Cancer Detection Using Image Processing</title>
<link href="http://hdl.handle.net/123456789/9917" rel="alternate"/>
<author>
<name>Philip, Jabesh</name>
</author>
<id>http://hdl.handle.net/123456789/9917</id>
<updated>2022-06-27T22:27:09Z</updated>
<published>2022-06-11T00:00:00Z</published>
<summary type="text">Skin Cancer Detection Using Image Processing
Philip, Jabesh
TheWeb application entitled “Skin Cancer Detection Using Image Processing”&#13;
is a medical application which focuses diagnosing patients with the type of the skin&#13;
cancer with the image classification using a special type of artificial neural network&#13;
called convolutional neural networks. Using this application a doctors or any health&#13;
worker can easily diagnose a patient with the type of skin cancer.&#13;
Users have to take an image of the pigmentation in their skin and crop the&#13;
image to the appropriate aspect ratio or resolution. Then upload the edited image&#13;
onto the web application. The web application will then take the image and use&#13;
the neural network model to predict what type of skin cancer that person has.&#13;
There are many advantages for this application as it does not require a real&#13;
doctor or skilled professional to use this application. This method is also much&#13;
cheaper and efficient compared to the traditional methods.
</summary>
<dc:date>2022-06-11T00:00:00Z</dc:date>
</entry>
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