A two-stage multi-view learning framework based computer-aided diagnosis of liver tumors with contrast enhanced ultrasound images

Author:

Guo Le-Hang1,Wang Dan1,Qian Yi-Yi2,Zheng Xiao2,Zhao Chong-Ke1,Li Xiao-Long1,Bo Xiao-Wan1,Yue Wen-Wen1,Zhang Qi2,Shi Jun2,Xu Hui-Xiong1

Affiliation:

1. Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China

2. Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China

Publisher

IOS Press

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine,Hematology,Physiology

Reference25 articles.

1. Guidelines and good clinical practice recommendations for contrast enhanced ultrasound (CEUS) - update 2008;Claudon;Ultrasound Med Biol,2008

2. Chronic liver disease: Quantitative MRI vs CEUS-based microperfusion;Haimerl;Clin Hemorheol Microcirc,2016

3. Diagnostic accuracy and interobserver variability of Dynamic Vascular Pattern (DVP) in primary liver malignancies - A simple semiquantitative tool for the analysis of contrast enhancement patterns;Schellhaas;Clin Hemorheol Microcirc,2017

4. Automatic identification and localisation of potential malignancies in contrast-enhanced ultrasound liver scans using spatio-temporal features;Bakas;The 6th Int. Workshop Abdominal Imaging Computational and Clinical Applications,2015

5. Evaluation of quantitative contrast harmonic imaging to assess malignancy of liver tumors: A prospective controlled two-center study;Jung;World J Gastroenterol,2007

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