A knowledge-based interactive liver segmentation using random walks-Reference-Cited by-同舟云学术

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A knowledge-based interactive liver segmentation using random walks

Published:2015-08 Issue: Volume: Page:
ISSN:
Container-title:2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
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Author:

Dong Chunhua,Chen Yen-Wei,Tateyama Tomoko,Han Xian-hua,Lin Lanfen,Hu Hongjie,Jin Chongwu,Yu Huajun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7374053/7381900/07382208.pdf?arnumber=7382208

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. Comparison of Selected Neural Network Models Used for Automatic Liver Tumor Segmentation;New Trends in Database and Information Systems;2023

2. Hybrid method combining superpixel, random walk and active contour model for fast and accurate liver segmentation;Computerized Medical Imaging and Graphics;2018-12

3. DSL: Automatic Liver Segmentation with Faster R-CNN and DeepLab;Artificial Neural Networks and Machine Learning – ICANN 2018;2018

4. Advances in Classification Technology Based on Typical Medical Images;Laser & Optoelectronics Progress;2018

5. Combined Density, Texture and Shape Features of Multi-phase Contrast-Enhanced CT Images for CBIR of Focal Liver Lesions: A Preliminary Study;Innovation in Medicine and Healthcare 2015;2015-08-12

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