BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

175 related articles for article (PubMed ID: 36505817)

  • 1. Machine-learning classifiers based on non-enhanced computed tomography radiomics to differentiate anterior mediastinal cysts from thymomas and low-risk from high-risk thymomas: A multi-center study.
    Shang L; Wang F; Gao Y; Zhou C; Wang J; Chen X; Chughtai AR; Pu H; Zhang G; Kong W
    Front Oncol; 2022; 12():1043163. PubMed ID: 36505817
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization.
    Dong W; Xiong S; Lei P; Wang X; Liu H; Liu Y; Zou H; Fan B; Qiu Y
    Front Oncol; 2022; 12():944005. PubMed ID: 36081562
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Use of radiomics based on
    Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
    Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Can computed tomography-based radiomics potentially discriminate between anterior mediastinal cysts and type B1 and B2 thymomas?
    Liu L; Lu F; Pang P; Shao G
    Biomed Eng Online; 2020 Nov; 19(1):89. PubMed ID: 33246468
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics Signatures of Computed Tomography Imaging for Predicting Risk Categorization and Clinical Stage of Thymomas.
    Wang X; Sun W; Liang H; Mao X; Lu Z
    Biomed Res Int; 2019; 2019():3616852. PubMed ID: 31275968
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
    Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
    Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computed tomography-based radiomics machine learning classifiers to differentiate type I and type II epithelial ovarian cancers.
    Li J; Li X; Ma J; Wang F; Cui S; Ye Z
    Eur Radiol; 2023 Jul; 33(7):5193-5204. PubMed ID: 36515713
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Ability of Radiomics in Differentiation of Anaplastic Oligodendroglioma From Atypical Low-Grade Oligodendroglioma Using Machine-Learning Approach.
    Zhang Y; Chen C; Cheng Y; Teng Y; Guo W; Xu H; Ou X; Wang J; Li H; Ma X; Xu J
    Front Oncol; 2019; 9():1371. PubMed ID: 31921635
    [No Abstract]   [Full Text] [Related]  

  • 10. Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in
    Zhang Y; Cheng C; Liu Z; Wang L; Pan G; Sun G; Chang Y; Zuo C; Yang X
    Med Phys; 2019 Oct; 46(10):4520-4530. PubMed ID: 31348535
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypes.
    Xiao G; Hu YC; Ren JL; Qin P; Han JC; Qu XY; Rong WC; Yan WQ; Tian Q; Han Y; Wang WP; Wang SM; Ma J; Wang W; Cui GB
    Eur Radiol; 2021 Jan; 31(1):447-457. PubMed ID: 32700020
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computed tomography radiomic feature analysis of thymic epithelial tumors: Differentiation of thymic epithelial tumors from thymic cysts and prediction of histological subtypes.
    Zhao W; Ozawa Y; Hara M; Okuda K; Hiwatashi A
    Jpn J Radiol; 2024 Apr; 42(4):367-373. PubMed ID: 38010596
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine-Learning Classifiers in Discrimination of Lesions Located in the Anterior Skull Base.
    Zhang Y; Shang L; Chen C; Ma X; Ou X; Wang J; Xia F; Xu J
    Front Oncol; 2020; 10():752. PubMed ID: 32547944
    [No Abstract]   [Full Text] [Related]  

  • 14. Multiphasic CT-Based Radiomics Analysis for the Differentiation of Benign and Malignant Parotid Tumors.
    Yu Q; Wang A; Gu J; Li Q; Ning Y; Peng J; Lv F; Zhang X
    Front Oncol; 2022; 12():913898. PubMed ID: 35847942
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiomics Analysis of Computed Tomography for Prediction of Thyroid Capsule Invasion in Papillary Thyroid Carcinoma: A Multi-Classifier and Two-Center Study.
    Wu X; Yu P; Jia C; Mao N; Che K; Li G; Zhang H; Mou Y; Song X
    Front Endocrinol (Lausanne); 2022; 13():849065. PubMed ID: 35692398
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MRI radiomics-based machine learning model integrated with clinic-radiological features for preoperative differentiation of sinonasal inverted papilloma and malignant sinonasal tumors.
    Gu J; Yu Q; Li Q; Peng J; Lv F; Gong B; Zhang X
    Front Oncol; 2022; 12():1003639. PubMed ID: 36212455
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors.
    Yu C; Li T; Yang X; Zhang R; Xin L; Zhao Z; Cui J
    BMC Med Imaging; 2022 Mar; 22(1):37. PubMed ID: 35249531
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CT-Based Radiomics to Differentiate Pelvic Rhabdomyosarcoma From Yolk Sac Tumors in Children.
    Chen X; Huang Y; He L; Zhang T; Zhang L; Ding H
    Front Oncol; 2020; 10():584272. PubMed ID: 33330062
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.
    Yin P; Mao N; Zhao C; Wu J; Sun C; Chen L; Hong N
    Eur Radiol; 2019 Apr; 29(4):1841-1847. PubMed ID: 30280245
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].
    Yu YX; Hu CH; Wang XM; Fan YF; Hu MJ; Shi C; Hu S; Zhu M; Zhang Y
    Zhonghua Yi Xue Za Zhi; 2021 May; 101(17):1239-1245. PubMed ID: 34865392
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 9.