U-Net and Active Contour Methods for Brain Tumour Segmentation and Visualization-Reference-Cited by-同舟云学术

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U-Net and Active Contour Methods for Brain Tumour Segmentation and Visualization

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 International Joint Conference on Neural Networks (IJCNN)
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Author:

Kot Estera,Krawczyk Zuzanna,Siwek Krzysztof,Czwarnowski Piotr S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9200848/9206590/09207572.pdf?arnumber=9207572

Cited by 5 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. Improving Right Ventricle Contouring in Cardiac MR Images Using Integrated Approach for Small Datasets;Artificial Intelligence and Sustainable Computing;2023

2. A survey on shape-constraint deep learning for medical image segmentation;IEEE Reviews in Biomedical Engineering;2022

3. Magnetic resonance image-based brain tumour segmentation methods: A systematic review;DIGITAL HEALTH;2022-01

4. Brain Intracranial Hemorrhage Segmentation using Unsupervised Learning on Volume CT Images;2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR);2021-10-12

5. Deep learning-based framework for tumour detection and semantic segmentation;Bulletin of the Polish Academy of Sciences Technical Sciences;2021-03-02

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