An MRI brain tumor segmentation method based on improved U-Net

An MRI brain tumor segmentation method based on improved U-Net

In order to improve the segmentation effect of brain tumor images and address the issue of feature information loss during convolutional neural network (CNN) training, we present an MRI brain tumor segmentation method that leverages an enhanced U-Net architecture. First, the ResNet50 network was use...

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Bibliographic Details
Main Authors: Jiajun Zhu, Rui Zhang, Haifei Zhang
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
brain tumor segmentation
mri
semantic segmentation
u-net
cbam
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024033?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024033?viewType=HTML

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