BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

216 related articles for article (PubMed ID: 36969052)

  • 1. CT-based radiomics with various classifiers for histological differentiation of parotid gland tumors.
    Lu Y; Liu H; Liu Q; Wang S; Zhu Z; Qiu J; Xing W
    Front Oncol; 2023; 13():1118351. PubMed ID: 36969052
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Enhanced CT-based texture analysis and radiomics score for differentiation of pleomorphic adenoma, basal cell adenoma, and Warthin tumor of the parotid gland.
    Chen F; Ge Y; Li S; Liu M; Wu J; Liu Y
    Dentomaxillofac Radiol; 2023 Jan; 52(2):20220009. PubMed ID: 36367128
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Differentiation of Benign From Malignant Parotid Gland Tumors Using Conventional MRI Based on Radiomics Nomogram.
    Qi J; Gao A; Ma X; Song Y; Zhao G; Bai J; Gao E; Zhao K; Wen B; Zhang Y; Cheng J
    Front Oncol; 2022; 12():937050. PubMed ID: 35898886
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics.
    Xiao DX; Zhong JP; Peng JD; Fan CG; Wang XC; Wen XL; Liao WW; Wang J; Yin XF
    BMC Med Imaging; 2023 Oct; 23(1):159. PubMed ID: 37845636
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Apparent Diffusion Coefficient Map-Based Radiomics Features for Differential Diagnosis of Pleomorphic Adenomas and Warthin Tumors From Malignant Tumors.
    Wen B; Zhang Z; Zhu J; Liu L; Li Y; Huang H; Zhang Y; Cheng J
    Front Oncol; 2022; 12():830496. PubMed ID: 35747827
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer.
    Deng Z; Dong W; Xiong S; Jin D; Zhou H; Zhang L; Xie L; Deng Y; Xu R; Fan B
    Front Oncol; 2023; 13():1166245. PubMed ID: 37223680
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Value of T2-weighted-based radiomics model in distinguishing Warthin tumor from pleomorphic adenoma of the parotid.
    Hu Z; Guo J; Feng J; Huang Y; Xu H; Zhou Q
    Eur Radiol; 2023 Jun; 33(6):4453-4463. PubMed ID: 36502461
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Non-Contrasted CT Radiomics for SAH Prognosis Prediction.
    Shan D; Wang J; Qi P; Lu J; Wang D
    Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627852
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CT-based radiomics analysis of different machine learning models for differentiating benign and malignant parotid tumors.
    Zheng Y; Zhou D; Liu H; Wen M
    Eur Radiol; 2022 Oct; 32(10):6953-6964. PubMed ID: 35484339
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A triple-classification radiomics model for the differentiation of pleomorphic adenoma, Warthin tumour, and malignant salivary gland tumours on the basis of diffusion-weighted imaging.
    Shao S; Zheng N; Mao N; Xue X; Cui J; Gao P; Wang B
    Clin Radiol; 2021 Jun; 76(6):472.e11-472.e18. PubMed ID: 33752882
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Differentiation of benign and malignant parotid gland tumors based on the fusion of radiomics and deep learning features on ultrasound images.
    Wang Y; Gao J; Yin Z; Wen Y; Sun M; Han R
    Front Oncol; 2024; 14():1384105. PubMed ID: 38803533
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Radiomics-based intracranial thrombus features on preoperative noncontrast CT predicts successful recanalization of mechanical thrombectomy in acute ischemic stroke.
    Xiong X; Wang J; Ke J; Hong R; Jiang S; Ye J; Hu C
    Quant Imaging Med Surg; 2023 Feb; 13(2):682-694. PubMed ID: 36819277
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Development and validation of CT-based radiomics nomogram for the classification of benign parotid gland tumors.
    Zheng M; Chen Q; Ge Y; Yang L; Tian Y; Liu C; Wang P; Deng K
    Med Phys; 2023 Feb; 50(2):947-957. PubMed ID: 36273307
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Multiclassifier fusion based on radiomics features for the prediction of benign and malignant primary pulmonary solid nodules.
    Shen Y; Xu F; Zhu W; Hu H; Chen T; Li Q
    Ann Transl Med; 2020 Mar; 8(5):171. PubMed ID: 32309318
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model.
    Du P; Liu X; Wu X; Chen J; Cao A; Geng D
    Brain Sci; 2023 Jun; 13(6):. PubMed ID: 37371390
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. A radiomics model based on aortic computed tomography angiography: the impact on predicting the prognosis of patients with aortic intramural hematoma (IMH).
    Ding Y; Zhang C; Wu W; Pu J; Zhao X; Zhang H; Zhao L; Schoenhagen P; Liu S; Ma X
    Quant Imaging Med Surg; 2023 Feb; 13(2):598-609. PubMed ID: 36819258
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.