OdCFU-Net for Brain Tumor Segmentation Based on MRI-Reference-Cited by-同舟云学术

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OdCFU-Net for Brain Tumor Segmentation Based on MRI

Published:2024-06-14 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
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Author:

Wu Shang¹,Yang Sijing¹,Li Boyue²,Yin Shimin¹,Zhu Jianming¹,Li Shiyong³,Chen Zhencheng¹

Affiliation:

1. School of Life and Environmental Science,Guilin University of Electronic Technology,Guilin,China

2. Guilin University of Electronic Science and Technology,School of Computer and Information Security

3. School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10586233/10586443/10639955.pdf?arnumber=10639955

Reference13 articles.

1. Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools

2. Review the state-of-the-art technologies of semantic segmentation based on deep learning

3. Hybrid Spiking Fully Convolutional Neural Network for Semantic Segmentation

4. U-Net: Convolutional Networks for Biomedical Image Segmentation

5. Transformers make strong encoders for medical image segmentation. arxiv 2021[J];Chen

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