Intelligent brain tumor segmentation based on improved U-Net

Yitong Li; Yongkang Xu; Xuhua Yuan; Yuchen Cao; Yingjie Jia

doi:10.1117/12.3036673

13 July 2024 Intelligent brain tumor segmentation based on improved U-Net

Yitong Li, Yongkang Xu, Xuhua Yuan, Yuchen Cao, Yingjie Jia

Author Affiliations +

Proceedings Volume 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024); 1320811 (2024) https://doi.org/10.1117/12.3036673
Event: 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 2024, Nanchang, China

Abstract

The segmentation of brain tumors plays a crucial role in improving the accuracy of diagnosis and enhancing the overall diagnostic efficacy, given the severe impact of malignant brain tumors on human health. However, traditional methods face challenges such as information loss, weak cross-scale feature fusion, and low segmentation accuracy when dealing with multi-scale targets. To address these issues, we propose an intelligent brain tumor segmentation method based on improved U-Net, to enhance the accuracy and robustness of the model in brain tumor segmentation tasks. Firstly, we improve the ResNet50 backbone network, which provides feature maps extracted from multiple levels. These feature maps are summarized and mapped to the final number of categories through the full connection layer, which can achieve the advantages of multi-layer feature fusion and improve segmentation performance. Secondly, we enhance the feature fusion module by incorporating a channel cross-attention mechanism and a dual-layer convolutional neural network, enabling a more comprehensive extraction of information from the feature maps. Trials indicate that our approach yields notable advancements in the accuracy of segmentation and superior integration of features across various scales. Such enhancements contribute substantially to the analytical processes involved in understanding brain tumor pathologies.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yitong Li, Yongkang Xu, Xuhua Yuan, Yuchen Cao, and Yingjie Jia "Intelligent brain tumor segmentation based on improved U-Net", Proc. SPIE 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 1320811 (13 July 2024); https://doi.org/10.1117/12.3036673

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KEYWORDS

Tumors

Image segmentation

Brain

Feature fusion

Brain mapping

Convolutional neural networks

Feature extraction

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