A 3D lightweight network with Roberts edge enhancement model (LR-Net) for brain tumor segmentation

A 3D lightweight network with Roberts edge enhancement model (LR-Net) for brain tumor segmentation

Abstract In clinical medicine, a reliable and resource-friendly computer-aided diagnosis (CAD) method for brain tumor segmentation is essential to enhance diagnostic accuracy and therapeutic outcomes, particularly in regions with uneven healthcare resource distribution. Convolutional neural networks...

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Bibliographic Details
Main Authors: Qingxu Meng, Weijiang Wang, Hang Qi, Hua Dang, Minli Jia, Xiaohua Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
3D spatial shift convolution
Roberts edge enhancement
Resource-friendly model
Brain tumor segmentation
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-03151-z
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https://doi.org/10.1038/s41598-025-03151-z

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