Brain Tumor Segmentation Network with Multi-View Ensemble Discrimination and Kernel-Sharing Dilated Convolution

Brain Tumor Segmentation Network with Multi-View Ensemble Discrimination and Kernel-Sharing Dilated Convolution

Accurate segmentation of brain tumors from magnetic resonance 3D images (MRI) is critical for clinical decisions and surgical planning. Radiologists usually separate and analyze brain tumors by combining images of axial, coronal, and sagittal views. However, traditional convolutional neural network...

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Bibliographic Details
Main Authors: Xin Guan, Yushan Zhao, Charles Okanda Nyatega, Qiang Li
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Brain Sciences
Subjects:
brain tumor segmentation
hierarchical multi-view convolution
ensemble discrimination
feature similarity
various sizes
deep learning
Online Access:https://www.mdpi.com/2076-3425/13/4/650

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https://www.mdpi.com/2076-3425/13/4/650

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