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http://repositorio.ugto.mx/handle/20.500.12059/10480| Title: | Brain Tumor Detection Using Magnetic Resonance Images Through Convolutional Neural Networks |
| Authors: | URIEL CALDERON URIBE |
| Authors' IDs: | info:eu-repo/dai/mx/cvu/781331 |
| Abstract: | Nowadays, brain tumor classification is a crucial task for neurologists and radiologists. However, manually detecting brain tumors from magnetic resonance imaging (MRI) can be challenging and prone to errors. This study proposes a method using neural networks to detect brain tumors. This study uses a subset of the BRATS 2018 dataset that contains 1,992 brain MRI scans. The proposed model achieves an accuracyof 97% in the test set making it a tool for medical experts. |
| Issue Date: | 10-Jan-2024 |
| Publisher: | Universidad de Guanajuato |
| License: | http://creativecommons.org/licenses/by-nc-nd/4.0 |
| URI: | http://repositorio.ugto.mx/handle/20.500.12059/10480 |
| Language: | eng |
| Appears in Collections: | Revista Jóvenes en la Ciencia |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Brain Tumor Detection Using Magnetic Resonance Images Through Convolutional Neural Networks.pdf | 585.28 kB | Adobe PDF | View/Open |
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