Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency-Reference-Cited by-同舟云学术

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Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency

Published:2018-10-31 Issue:6 Volume:14 Page:914-922
ISSN:1573-4056
Container-title:Current Medical Imaging Reviews
language:en
Short-container-title:CMIR

Author:

Latif Ghazanfar¹,Iskandar D.N.F. Awang¹,Alghazo Jaafar²,Jaffar Arfan³

Affiliation:

1. Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia

2. College of Computer Engineering and Sciences, Prince Mohammad Bin Fahd University, Al-khobar, Saudi Arabia

3. Department of Computer Science and Information Technology, The Superior College, Lahore, Pakistan

Publisher

Bentham Science Publishers Ltd.

Subject

Radiology, Nuclear Medicine and imaging

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

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2. DeepTumor: Framework for Brain MR Image Classification, Segmentation and Tumor Detection;Diagnostics;2022-11-21

3. Parallelistic Convolution Neural Network Approach for Brain Tumor Diagnosis;Diagnostics;2022-10-13

4. Recent Advances in Classification of Brain Tumor from MR Images – State of the Art Review from 2017 to 2021;Current Medical Imaging Formerly Current Medical Imaging Reviews;2022-08

5. Novel Coronavirus and Common Pneumonia Detection from CT Scans Using Deep Learning-Based Extracted Features;Viruses;2022-07-28

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