Deep learning to distinguish benign from malignant renal lesions based on routine MR imaging-Reference-Cited by-同舟云学术

Deep learning to distinguish benign from malignant renal lesions based on routine MR imaging

Published:2020-01-14 Issue: Volume: Page:clincanres.0374.2019
ISSN:1078-0432
Container-title:Clinical Cancer Research
language:en
Short-container-title:Clin Cancer Res

Author:

Xi Ianto Lin,Zhao Yijun,Wang Robin,Chang Marcello^ORCID,Purkayastha Subhanik,Chang Ken,Huang Raymond Y,Silva Alvin C.,Vallières Martin^ORCID,Habibollahi Peiman,Fan Yong^ORCID,Zou Beiji,Gade Terence P^ORCID,Zhang Paul J.,Soulen Michael C.^ORCID,Zhang Zishu,Bai Harrison X,Stavropoulos S. William

Funder

RSNA fellow research grant

National Natural Science Foundation of China

SIR Foundation Radiology Resident Research Grant

HHS | NIH | National Institute of Biomedical Imaging and Bioengineering

HHS | National Institutes of Health

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

Cited by 97 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Molecular imaging for non-invasive risk stratification of renal masses;Diagnostic and Interventional Imaging;2024-09

2. Application of artificial intelligence in the diagnosis and treatment of urinary tumors;Frontiers in Oncology;2024-08-12

3. Multiparametric MRI-Based Machine Learning Models for the Characterization of Cystic Renal Masses Compared to the Bosniak Classification, Version 2019: A Multicenter Study;Academic Radiology;2024-08

4. A review of deep learning-based information fusion techniques for multimodal medical image classification;Computers in Biology and Medicine;2024-07

5. Development and Validation of a Diagnostic Model for Identifying Clear Cell Renal Cell Carcinoma in Small Renal Masses Based on CT Radiological Features: A Multicenter Study;Academic Radiology;2024-05