BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 37948374)

  • 1. Differentiation of Sinonasal NKT From Diffuse Large B-Cell Lymphoma Using Machine Learning and MRI-Based Radiomics.
    Zhang Y; Lin N; Xiao H; Xin E; Sha Y
    J Comput Assist Tomogr; 2023 Nov-Dec 01; 47(6):973-981. PubMed ID: 37948374
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomics analysis of T1WI and T2WI magnetic resonance images to differentiate between IgG4-related ophthalmic disease and orbital MALT lymphoma.
    Shao Y; Chen Y; Chen S; Wei R
    BMC Ophthalmol; 2023 Jun; 23(1):288. PubMed ID: 37353736
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stacking Ensemble Learning-Based [
    Zhao S; Wang J; Jin C; Zhang X; Xue C; Zhou R; Zhong Y; Liu Y; He X; Zhou Y; Xu C; Zhang L; Qian W; Zhang H; Zhang X; Tian M
    J Nucl Med; 2023 Oct; 64(10):1603-1609. PubMed ID: 37500261
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
    Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
    BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of machine learning-based multi-sequence MRI radiomics in diagnosing anterior cruciate ligament tears.
    Cheng Q; Lin H; Zhao J; Lu X; Wang Q
    J Orthop Surg Res; 2024 Jan; 19(1):99. PubMed ID: 38297322
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of High-Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods.
    Liu J; Zeng P; Guo W; Wang C; Geng Y; Lang N; Yuan H
    J Magn Reson Imaging; 2021 Oct; 54(4):1303-1311. PubMed ID: 33979466
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
    Wang X; Wan Q; Chen H; Li Y; Li X
    Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MRI-based radiomics analysis for differentiating phyllodes tumors of the breast from fibroadenomas.
    Tsuchiya M; Masui T; Terauchi K; Yamada T; Katyayama M; Ichikawa S; Noda Y; Goshima S
    Eur Radiol; 2022 Jun; 32(6):4090-4100. PubMed ID: 35044510
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Investigation of MRI-based radiomics model in differentiation between sinonasal primary lymphomas and squamous cell carcinomas.
    Wang X; Dai S; Wang Q; Chai X; Xian J
    Jpn J Radiol; 2021 Aug; 39(8):755-762. PubMed ID: 33860416
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Differentiation between sinonasal natural killer/T-cell lymphomas and diffuse large B-cell lymphomas by RESOLVE DWI combined with conventional MRI.
    He M; Tang Z; Qiang J; Xiao Z; Zhang Z
    Magn Reson Imaging; 2019 Oct; 62():10-17. PubMed ID: 31212002
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Preoperative prediction of sonic hedgehog and group 4 molecular subtypes of pediatric medulloblastoma based on radiomics of multiparametric MRI combined with clinical parameters.
    Wang Y; Wang L; Qin B; Hu X; Xiao W; Tong Z; Li S; Jing Y; Li L; Zhang Y
    Front Neurosci; 2023; 17():1157858. PubMed ID: 37113160
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Differential diagnosis of sinonasal extranodal NK/T cell lymphoma and diffuse large B cell lymphoma on MRI.
    Chen Y; Wang X; Li L; Li W; Xian J
    Neuroradiology; 2020 Sep; 62(9):1149-1155. PubMed ID: 32562035
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study.
    Yimit Y; Yasin P; Tuersun A; Wang J; Wang X; Huang C; Abudoubari S; Chen X; Ibrahim I; Nijiati P; Wang Y; Zou X; Nijiati M
    Acad Radiol; 2024 Mar; ():. PubMed ID: 38508934
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Squamous Cell Carcinoma and Lymphoma of the Oropharynx: Differentiation Using a Radiomics Approach.
    Bae S; Choi YS; Sohn B; Ahn SS; Lee SK; Yang J; Kim J
    Yonsei Med J; 2020 Oct; 61(10):895-900. PubMed ID: 32975065
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach.
    Suh HB; Choi YS; Bae S; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Lee SK
    Eur Radiol; 2018 Sep; 28(9):3832-3839. PubMed ID: 29626238
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI.
    Yin P; Mao N; Zhao C; Wu J; Chen L; Hong N
    J Magn Reson Imaging; 2019 Mar; 49(3):752-759. PubMed ID: 30430686
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bi-parametric magnetic resonance imaging based radiomics for the identification of benign and malignant prostate lesions: cross-vendor validation.
    Ji X; Zhang J; Shi W; He D; Bao J; Wei X; Huang Y; Liu Y; Chen JC; Gao X; Tang Y; Xia W
    Phys Eng Sci Med; 2021 Sep; 44(3):745-754. PubMed ID: 34075559
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Differentiation of benign from malignant solid renal lesions with MRI-based radiomics and machine learning.
    Massa'a RN; Stoeckl EM; Lubner MG; Smith D; Mao L; Shapiro DD; Abel EJ; Wentland AL
    Abdom Radiol (NY); 2022 Aug; 47(8):2896-2904. PubMed ID: 35723716
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.