Brain MR image segmentation using NAMS in pseudo-color-Reference-Cited by-同舟云学术

Brain MR image segmentation using NAMS in pseudo-color

Published:2017-10-28 Issue:sup1 Volume:22 Page:170-175
ISSN:2469-9322
Container-title:Computer Assisted Surgery
language:en
Short-container-title:Computer Assisted Surgery

Author:

Li Hua¹,Chen Chuanbo¹,Fang Shaohong¹,Zhao Shengrong²

Affiliation:

1. School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China;

2. School of Information, Qilu University of Technology, Jinan, China

Publisher

Informa UK Limited

Subject

Family Practice,Computer Science Applications,Surgery

Link

https://www.tandfonline.com/doi/pdf/10.1080/24699322.2017.1389395

Reference24 articles.

1. Magnetic resonance imaging (MRI): considerations and applications in radiotherapy treatment planning

2. Utilizing Segmented MRI Data in Image-Guided Surgery

3. Zhang Z, Zhu Q, Xie Y. Mri segmentation of brain tissue based on spatial prior and neighboring pixels affinities. In: Pattern Recognition (ICPR), 2012 21st International Conference. IEEE; Tsukuba, Japan; 2012: 89–92.

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. Multi-View Super Resolution for Underwater Images Utilizing Atmospheric Light Scattering Model;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

2. Comparison of Various Colorization Techniques for MRI Brain Tumor Segmentation using Convolutional Neural Networks;2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE);2023-12-02

3. Bioengineering and Geomatics: Automatic Brain Image Segmentation using Two-Stage Pipeline with SNN and Watershed Algorithm;WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE;2023-10-12

4. An adaptive enhancement method for generic multi-modal high‐bit RAW grayscale image displaying on low-bit monitors;Displays;2023-09

5. Data Augmentation for Improving CNNs in Medical Image Classification;2023 8th International Conference on Intelligent Computing and Signal Processing (ICSP);2023-04-21