Automatic segmentation system for liver tumors based on the multilevel thresholding and electromagnetism optimization algorithm-Reference-Cited by-同舟云学术

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Automatic segmentation system for liver tumors based on the multilevel thresholding and electromagnetism optimization algorithm

Published:2020-05-08 Issue:4 Volume:30 Page:1256-1270
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Mahdy Lamia N.¹²,Ezzat Kadry A.¹²^ORCID,Torad Mohamed³,Hassanien Aboul E.²⁴

Affiliation:

1. Higher Technological Institute Biomedical Engineering Department 10th of Ramadan City Egypt

2. Scientific Research Group in Egypt (SRGE) Cairo Egypt

3. Higher Technological Institute Electrical Engineering Department 10th of Ramadan City Egypt

4. Faculty of Computers and Artificial Intelligence Cairo University Cairo Egypt

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22432

Reference39 articles.

1. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

2. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008

3. The trends in incidence of primary liver cancer caused by specific etiologies: Results from the Global Burden of Disease Study 2016 and implications for liver cancer prevention

4. Differentiating Cystic Liver Lesions: A Review of Imaging Modalities, Diagnosis and Management

5. Automatic Segmentation of Liver Tumor in CT Images with Deep Convolutional Neural Networks

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