Deep learning-driven brain tumor classification and segmentation using non-contrast MRI

Deep learning-driven brain tumor classification and segmentation using non-contrast MRI

Abstract This study aims to enhance the accuracy and efficiency of MRI-based brain tumor diagnosis by leveraging deep learning (DL) techniques applied to multichannel MRI inputs. MRI data were collected from 203 subjects, including 100 normal cases and 103 cases with 13 distinct brain tumor types. N...

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Bibliographic Details
Main Authors: Nan-Han Lu, Yung-Hui Huang, Kuo-Ying Liu, Tai-Been Chen
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Brain MRI
Convolutional neural networks (CNNs)
Fully convolutional networks (FCNs)
Deep learning
Tumor classification
Online Access:https://doi.org/10.1038/s41598-025-13591-2
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https://doi.org/10.1038/s41598-025-13591-2

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