A two-stage multi-view learning framework based computer-aided diagnosis of liver tumors with contrast enhanced ultrasound images-Reference-Cited by-同舟云学术

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

Published:2018-06-28 Issue:3 Volume:69 Page:343-354
ISSN:1386-0291
Container-title:Clinical Hemorheology and Microcirculation
language:
Short-container-title:CH

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

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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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