MRI‐Based Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors-Reference-Cited by-同舟云学术

MRI‐Based Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors

Published:2021-11-29 Issue: Volume: Page:
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J Magn Reson Imaging

Author:

Jian Junming¹²^ORCID,Li Yong'ai³,Xia Wei¹^ORCID,He Zhang⁴,Zhang Rui¹,Li Haiming⁵,Zhao Xingyu¹,Zhao Shuhui⁶,Zhang Jiayi¹,Cai Songqi⁷,Wu Xiaodong¹,Gao Xin¹²⁸^ORCID,Qiang Jinwei³^ORCID

Affiliation:

1. Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences Suzhou China

2. Jinan Guoke Medical Engineering and Technology Development Co., Ltd. Jinan China

3. Department of Radiology, Jinshan Hospital Fudan University Shanghai China

4. Department of Radiology, Shanghai Public Health Clinical Center Fudan University Shanghai China

5. Department of Radiology, Cancer Hospital Fudan University Shanghai China

6. Department of Radiology, Xinhua Hospital Medical College of Shanghai Jiao Tong University Shanghai China

7. Department of Radiology, Zhongshan Hospital Fudan University Shanghai China

8. Department of Radiology, Shanxi Province Cancer Hospital Shanxi Medical University Taiyuan China

Funder

National Natural Science Foundation of China

Health and Family Planning Commission of Sichuan Province

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.28008

Reference27 articles.

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