A Deep Learning-Based Radiomics Model for Differentiating Benign and Malignant Renal Tumors

2018167 citationsJournal Articlegold Open Access

Authors

Leilei Zhou · Nanjing Medical University

Zuoheng Zhang · State Key Laboratory of Digital Medical Engineering

Yu‐Chen Chen · Nanjing Medical University

Zhenyu Zhao · Nanjing Medical University

Xindao Yin · Nanjing Medical University

Hong-Bing Jiang · Nanjing Health and Health Commission

Abstract

Deep learning can be used to classify benign and malignant renal tumors from CT images. Our patient-level models could benefit from 3D data to improve the accuracy.

Topics & Keywords

Radiomics and Machine Learning in Medical Imaging Renal cell carcinoma treatment Advanced X-ray and CT Imaging

UN Sustainable Development Goals

Reduced inequalities

Publication Details

Published in: Translational Oncology

Volume 12, Issue 2, pp. 292-300

DOI: 10.1016/j.tranon.2018.10.012

Field-Weighted Citation Impact: 10.28