195 related articles for article (PubMed ID: 38672536)
1. Radiomics Machine Learning Analysis of Clear Cell Renal Cell Carcinoma for Tumour Grade Prediction Based on Intra-Tumoural Sub-Region Heterogeneity.
Alhussaini AJ; Steele JD; Jawli A; Nabi G
Cancers (Basel); 2024 Apr; 16(8):. PubMed ID: 38672536
[TBL] [Abstract][Full Text] [Related]
2. CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma.
Demirjian NL; Varghese BA; Cen SY; Hwang DH; Aron M; Siddiqui I; Fields BKK; Lei X; Yap FY; Rivas M; Reddy SS; Zahoor H; Liu DH; Desai M; Rhie SK; Gill IS; Duddalwar V
Eur Radiol; 2022 Apr; 32(4):2552-2563. PubMed ID: 34757449
[TBL] [Abstract][Full Text] [Related]
3. Fuhrman nuclear grade prediction of clear cell renal cell carcinoma: influence of volume of interest delineation strategies on machine learning-based dynamic enhanced CT radiomics analysis.
Luo S; Wei R; Lu S; Lai S; Wu J; Wu Z; Pang X; Wei X; Jiang X; Zhen X; Yang R
Eur Radiol; 2022 Apr; 32(4):2340-2350. PubMed ID: 34636962
[TBL] [Abstract][Full Text] [Related]
4. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS
Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
[TBL] [Abstract][Full Text] [Related]
5. Incremental value of automatically segmented perirenal adipose tissue for pathological grading of clear cell renal cell carcinoma: a multicenter cohort study.
Li S; Zhou Z; Gao M; Liao Z; He K; Qu W; Li J; Kamel IR; Chu Q; Zhang Q; Li Z
Int J Surg; 2024 Apr; ():. PubMed ID: 38573065
[TBL] [Abstract][Full Text] [Related]
6. Computed Tomography Radiomics for Predicting Pathological Grade of Renal Cell Carcinoma.
Yi X; Xiao Q; Zeng F; Yin H; Li Z; Qian C; Wang C; Lei G; Xu Q; Li C; Li M; Gong G; Zee C; Guan X; Liu L; Chen BT
Front Oncol; 2020; 10():570396. PubMed ID: 33585193
[TBL] [Abstract][Full Text] [Related]
7. Computed Tomography-Based Radiomics Model for Predicting the WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma Preoperatively: A Multicenter Study.
Wang R; Hu Z; Shen X; Wang Q; Zhang L; Wang M; Feng Z; Chen F
Front Oncol; 2021; 11():543854. PubMed ID: 33718124
[TBL] [Abstract][Full Text] [Related]
8. CT-based radiomics model using stability selection for predicting the World Health Organization/International Society of Urological Pathology grade of clear cell renal cell carcinoma.
Zhang H; Yin F; Chen M; Qi A; Yang L; Wen G
Br J Radiol; 2024 May; 97(1158):1169-1179. PubMed ID: 38688660
[TBL] [Abstract][Full Text] [Related]
9. Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative study.
Xv Y; Lv F; Guo H; Zhou X; Tan H; Xiao M; Zheng Y
Insights Imaging; 2021 Nov; 12(1):170. PubMed ID: 34800179
[TBL] [Abstract][Full Text] [Related]
10. CT-based peritumoral radiomics signatures for malignancy grading of clear cell renal cell carcinoma.
Zhou Z; Qian X; Hu J; Ma X; Zhou S; Dai Y; Zhu J
Abdom Radiol (NY); 2021 Jun; 46(6):2690-2698. PubMed ID: 33427908
[TBL] [Abstract][Full Text] [Related]
11. Machine Learning-Based Magnetic Resonance Radiomics Analysis for Predicting Low- and High-Grade Clear Cell Renal Cell Carcinoma.
Sim KC; Han NY; Cho Y; Sung DJ; Park BJ; Kim MJ; Han YE
J Comput Assist Tomogr; 2023 Nov-Dec 01; 47(6):873-881. PubMed ID: 37948361
[TBL] [Abstract][Full Text] [Related]
12. Ultrasound contrast-enhanced radiomics model for preoperative prediction of the tumor grade of clear cell renal cell carcinoma: an exploratory study.
Luo Y; Liu X; Jia Y; Zhao Q
BMC Med Imaging; 2024 Jun; 24(1):135. PubMed ID: 38844837
[TBL] [Abstract][Full Text] [Related]
13. Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomics.
Cui E; Li Z; Ma C; Li Q; Lei Y; Lan Y; Yu J; Zhou Z; Li R; Long W; Lin F
Eur Radiol; 2020 May; 30(5):2912-2921. PubMed ID: 32002635
[TBL] [Abstract][Full Text] [Related]
14. Development and Validation of Contrast-Enhanced CT-Based Deep Transfer Learning and Combined Clinical-Radiomics Model to Discriminate Thymomas and Thymic Cysts: A Multicenter Study.
Yang Y; Cheng J; Peng Z; Yi L; Lin Z; He A; Jin M; Cui C; Liu Y; Zhong Q; Zuo M
Acad Radiol; 2024 Apr; 31(4):1615-1628. PubMed ID: 37949702
[TBL] [Abstract][Full Text] [Related]
15. Study of radiomics based on dual-energy CT for nuclear grading and T-staging in renal clear cell carcinoma.
Wang N; Bing X; Li Y; Yao J; Dai Z; Yu D; Ouyang A
Medicine (Baltimore); 2024 Mar; 103(10):e37288. PubMed ID: 38457546
[TBL] [Abstract][Full Text] [Related]
16. Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients.
Nazari M; Shiri I; Zaidi H
Comput Biol Med; 2021 Feb; 129():104135. PubMed ID: 33254045
[TBL] [Abstract][Full Text] [Related]
17. Integrative radiogenomics analysis for predicting molecular features and survival in clear cell renal cell carcinoma.
Zeng H; Chen L; Wang M; Luo Y; Huang Y; Ma X
Aging (Albany NY); 2021 Mar; 13(7):9960-9975. PubMed ID: 33795526
[TBL] [Abstract][Full Text] [Related]
18. Preoperative Predicting the WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma by Computed Tomography-Based Radiomics Features.
Moldovanu CG; Boca B; Lebovici A; Tamas-Szora A; Feier DS; Crisan N; Andras I; Buruian MM
J Pers Med; 2020 Dec; 11(1):. PubMed ID: 33374569
[TBL] [Abstract][Full Text] [Related]
19. Prediction models for clear cell renal cell carcinoma ISUP/WHO grade: comparison between CT radiomics and conventional contrast-enhanced CT.
Han D; Yu Y; Yu N; Dang S; Wu H; Jialiang R; He T
Br J Radiol; 2020 Oct; 93(1114):20200131. PubMed ID: 32706977
[TBL] [Abstract][Full Text] [Related]
20. Prediction of ISUP grading of clear cell renal cell carcinoma using support vector machine model based on CT images.
Sun X; Liu L; Xu K; Li W; Huo Z; Liu H; Shen T; Pan F; Jiang Y; Zhang M
Medicine (Baltimore); 2019 Apr; 98(14):e15022. PubMed ID: 30946334
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]