Noninvasive Prediction of Ki‐67 Expression in Hepatocellular Carcinoma Using Machine Learning‐Based Ultrasomics-Reference-Cited by-同舟云学术

Noninvasive Prediction of Ki‐67 Expression in Hepatocellular Carcinoma Using Machine Learning‐Based Ultrasomics

Published:2022-11-22 Issue:5 Volume:42 Page:1113-1122
ISSN:0278-4297
Container-title:Journal of Ultrasound in Medicine
language:en
Short-container-title:J of Ultrasound Medicine

Author:

Zhang Linlin¹²^ORCID,Duan Shaobo²³^ORCID,Qi Qinghua⁴^ORCID,Li Qian⁵,Ren Shanshan¹²,Liu Shunhua²,Mao Bing²^ORCID,Zhang Ye²³,Wang Simeng¹²,Yang Long¹^ORCID,Liu Ruiqing²^ORCID,Liu Luwen¹²,Li Yaqiong²^ORCID,Li Na²,Zhang Lianzhong¹²^ORCID

Affiliation:

1. Department of Ultrasound Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University People's Hospital Zhengzhou Henan China

2. Henan Engineering Technology Research Center of Ultrasonic Molecular Imaging and Nanotechnology Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University People's Hospital Zhengzhou China

3. Department of Health Management Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University People's Hospital Zhengzhou China

4. Department of Ultrasound First Affiliated Hospital of Zhengzhou University Zhengzhou China

5. Department of Ultrasound Henan Provincial Cancer Hospital Zhengzhou China

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jum.16126

Reference40 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma

3. AASLD guidelines for the treatment of hepatocellular carcinoma