Please use this identifier to cite or link to this item: http://repository.i3l.ac.id/jspui/handle/123456789/1081
Full metadata record
DC FieldValueLanguage
dc.contributor.authorShiloputra, Axel F-
dc.date.accessioned2025-02-25T03:37:32Z-
dc.date.available2025-02-25T03:37:32Z-
dc.date.issued2024-09-01-
dc.identifier.urihttp://repository.i3l.ac.id/jspui/handle/123456789/1081-
dc.description.abstractCancer 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.en_US
dc.language.isoenen_US
dc.publisherIndonesia International Institute for life scienceen_US
dc.relation.ispartofseriesBI 24-004;T202409011-
dc.subjectArtificial intelligenceen_US
dc.subjectcomputer visionen_US
dc.subjectbrain tumoren_US
dc.subjectmagnetic resonance imagingen_US
dc.titleComputer Vision network-based detection of brain cancer with Magnetic Resonance Imaging (MRI) picturesen_US
dc.typeThesisen_US
Appears in Collections:Pharmacy

Files in This Item:
File Description SizeFormat 
Axel F Shiloputra.pdf
  Restricted Access
Full text2.13 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.