Enhancement approach for liver lesion diagnosis using unenhanced CT images-Reference-Cited by-同舟云学术

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Enhancement approach for liver lesion diagnosis using unenhanced CT images

Published:2018-07-27 Issue:8 Volume:12 Page:1078-1087
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Balagourouchetty Lakshmipriya¹,Pragatheeswaran Jayanthi K.¹,Pottakkat Biju²,Govindarajalou Ramkumar³

Affiliation:

1. Department of ECEPondicherry Engineering CollegePuducherryIndia

2. Department of Surgical GastroenterologyJawaharlal Institute of Postgraduate Medical Education and ResearchPuducherryIndia

3. Department of Radio DiagnosisJawaharlal Institute of Postgraduate Medical Education and ResearchPuducherryIndia

Funder

University Grants Commission

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2018.5265

Reference42 articles.

1. Trends in the mortality of hepatocellular carcinoma in the United States;Beal E.W;J. Gastrointest. Surg.,2017

2. Perfusion Imaging of the Liver: Current Challenges and Future Goals

3. Understanding and optimizing use of contrast material for CT of the liver.

4. Three-Dimensional Spatiotemporal Features for Fast Content-Based Retrieval of Focal Liver Lesions

5. Acute kidney injury after contrast-enhanced examination among elderly

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3. Traditional pattern enhancement based on improved singular value decomposition and gamma function in the frequency domain;Journal of Intelligent & Fuzzy Systems;2023-12-02

4. Wavelet radiomics features from multiphase CT images for screening hepatocellular carcinoma: analysis and comparison;Scientific Reports;2023-11-10

5. Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review;Artificial Intelligence in Medicine;2023-07

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