Deep Learning Using CT Images to Grade Clear Cell Renal Cell Carcinoma: Development and Validation o...
Deep Learning Using CT Images to Grade Clear Cell Renal Cell Carcinoma: Development and Validation of a Prediction Model
About this item
Full title
Author / Creator
Xu, Lifeng , Yang, Chun , Zhang, Feng , Cheng, Xuan , Wei, Yi , Fan, Shixiao , Liu, Minghui , He, Xiaopeng , Deng, Jiali , Xie, Tianshu , Wang, Xiaomin , Liu, Ming and Song, Bin
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
This retrospective study aimed to develop and validate deep-learning-based models for grading clear cell renal cell carcinoma (ccRCC) patients. A cohort enrolling 706 patients (
= 706) with pathologically verified ccRCC was used in this study. A temporal split was applied to verify our models: the first 83.9% of the cases (years 2010-2017) for d...
Alternative Titles
Full title
Deep Learning Using CT Images to Grade Clear Cell Renal Cell Carcinoma: Development and Validation of a Prediction Model
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9179576
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9179576
Other Identifiers
ISSN
2072-6694
E-ISSN
2072-6694
DOI
10.3390/cancers14112574
