Thesis

Computer Vision network-based detection of brain cancer with Magnetic Resonance Imaging (MRI) pictures

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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.

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Availability

Detail Information

Series Title

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Call Number

BI 24-004

Publisher

i3L, Jakarta : i3L, Jakarta., 2024

Collation

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Language

English

ISBN/ISSN

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Classification

NONE

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Artificial Intelligence
Computer vision
brain tumor
magnetic resonance imaging

Specific Detail Info

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Statement of Responsibility

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Other version/related

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