A Combined Fuzzy C-Means and Level Set Method for Automatic DCE-MRI Kidney Segmentation Using Both Population-Based and Patient-Specific Shape Statistics-Reference-Cited by-同舟云学术

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A Combined Fuzzy C-Means and Level Set Method for Automatic DCE-MRI Kidney Segmentation Using Both Population-Based and Patient-Specific Shape Statistics

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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Author:

El-Melegy Moumen T.,Abd El-Karim Rasha M.,El-Baz Ayman S.,Abou El-Ghar Mohamed

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9171991/9177529/09177563.pdf?arnumber=9177563

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An improved path loss model for 5G wireless networks in an enclosed hallway;Wireless Networks;2024-02-13

2. Kidney Segmentation from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Integrating Deep Convolutional Neural Networks and Level Set Methods;Bioengineering;2023-06-24

3. Efficient and robust level set model for extracting regions of interest in X-ray welding images and MRI brain images;Multimedia Tools and Applications;2023-03-27

4. Performance analysis of improved path loss models for millimeter-wave wireless network channels at 28 GHz and 38 GHz;PLOS ONE;2023-03-21

5. LoRa, Zigbee and 5G Propagation and Transmission Performance in an Indoor Environment at 868 MHz;Sensors;2023-03-20

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