Brain tumor segmentation using deep learning: high performance with minimized MRI data

Brain tumor segmentation using deep learning: high performance with minimized MRI data

PurposeBrain tumor segmentation with MRI is a challenging task, traditionally relying on manual delineation of regions-of-interest across multiple imaging sequences. However, this data-intensive approach is time-consuming. We aimed to optimize the process by using a deep learning (DL) based model wh...

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Bibliographic Details
Main Authors: Jacky Huang, Banu Yagmurlu, Powell Molleti, Richard Lee, Abigail VanderPloeg, Humaira Noor, Rohan Bareja, Yiheng Li, Michael Iv, Haruka Itakura
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Radiology
Subjects:
artificial intelligence
deep learning (DL)
computer vision
convolutional neural network (CNN)
3D brain tumor segmentation
semantic segmentation
Online Access:https://www.frontiersin.org/articles/10.3389/fradi.2025.1616293/full
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https://www.frontiersin.org/articles/10.3389/fradi.2025.1616293/full

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