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http://repository.i3l.ac.id/jspui/handle/123456789/1081
Title: | Computer Vision network-based detection of brain cancer with Magnetic Resonance Imaging (MRI) pictures |
Authors: | Shiloputra, Axel F |
Keywords: | Artificial intelligence computer vision brain tumor magnetic resonance imaging |
Issue Date: | 1-Sep-2024 |
Publisher: | Indonesia International Institute for life science |
Series/Report no.: | BI 24-004;T202409011 |
Abstract: | Cancer is a complex disease that involves the growth of cells inside the body. In 2020, more than 10 million people died from cancer worldwide. One of them is brain cancer. Brain cancer itself has higher mortality rate on men rather than women. One of the tools that play pivotal role in detecting cancer is Artificial Intelligence. The Artificial Intelligence helps on analyzing the image pattern by using CT scan, MRI scan, and X-Rays. To help the Artificial Intelligence more, a Residual Network (ResNet) and Efficient Network (EfficientNet) will be used in the programming and help reducing human errors. Thus, Artificial Intelligence will be a big support on analyzing cancer, especially in its early stage. By doing this, it will help more lives in the future. |
URI: | http://repository.i3l.ac.id/jspui/handle/123456789/1081 |
Appears in Collections: | Pharmacy |
Files in This Item:
File | Description | Size | Format | |
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Axel F Shiloputra.pdf Restricted Access | Full text | 2.13 MB | Adobe PDF | View/Open Request a copy |
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