Stratification of malignant renal neoplasms from cystic renal lesions using deep learning and radiomics features based on a stacking ensemble CT machine learning algorithm

Stratification of malignant renal neoplasms from cystic renal lesions using deep learning and radiomics features based on a stacking ensemble CT machine learning algorithm

Using nephrographic phase CT images combined with pathology diagnosis, we aim to develop and validate a fusion feature-based stacking ensemble machine learning model to distinguish malignant renal neoplasms from cystic renal lesions (CRLs). This retrospective research includes 166 individuals with C...

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Bibliographic Details
Main Authors: Quan-Hao He, Hao Tan, Fang-Tong Liao, Yi-Neng Zheng, Fa-Jin Lv, Qing Jiang, Ming-Zhao Xiao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Oncology
Subjects:
renal neoplasms
machine learning
Bosniak-2019 classification
cystic renal lesions
radiomics analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1028577/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.1028577/full

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