BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 38395696)

  • 1. Potential of radiomics analysis and machine learning for predicting brain metastasis in newly diagnosed lung cancer patients.
    Yichu S; Fei L; Ying L; Youyou X
    Clin Radiol; 2024 Jun; 79(6):e807-e816. PubMed ID: 38395696
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
    Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
    Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.
    Jiang C; Luo Y; Yuan J; You S; Chen Z; Wu M; Wang G; Gong J
    Eur Radiol; 2020 Jul; 30(7):4050-4057. PubMed ID: 32112116
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
    Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
    Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CT-based radiomics research for discriminating the risk stratification of pheochromocytoma using different machine learning models: a multi-center study.
    Zhao J; Zhan Y; Zhou Y; Yang Z; Xiong X; Ye Y; Yao B; Xu S; Peng Y; Xiao X; Zeng X; Zuo M; Dai X; Gong L
    Abdom Radiol (NY); 2024 May; 49(5):1569-1583. PubMed ID: 38587628
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A machine learning radiomics model based on bpMRI to predict bone metastasis in newly diagnosed prostate cancer patients.
    Xinyang S; Shuang Z; Tianci S; Xiangyu H; Yangyang W; Mengying D; Jingran Z; Feng Y
    Magn Reson Imaging; 2024 Apr; 107():15-23. PubMed ID: 38181835
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A diagnostic approach integrated multimodal radiomics with machine learning models based on lumbar spine CT and X-ray for osteoporosis.
    Cheng L; Cai F; Xu M; Liu P; Liao J; Zong S
    J Bone Miner Metab; 2023 Nov; 41(6):877-889. PubMed ID: 37898574
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Intratumoural and peritumoural CT-based radiomics for diagnosing lepidic-predominant adenocarcinoma in patients with pure ground-glass nodules: a machine learning approach.
    Zou Y; Mao Q; Zhao Z; Zhou X; Pan Y; Zuo Z; Zhang W
    Clin Radiol; 2024 Feb; 79(2):e211-e218. PubMed ID: 38044199
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Thoracic CT radiomics analysis for predicting synchronous brain metastasis in patients with lung cancer.
    Ding Z; Wang Y; Xia C; Meng X; Yu Q; Ju S
    Diagn Interv Radiol; 2022 Jan; 28(1):39-49. PubMed ID: 35142613
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An [
    Meng N; Feng P; Yu X; Wu Y; Fu F; Li Z; Luo Y; Tan H; Yuan J; Yang Y; Wang Z; Wang M
    Eur Radiol; 2024 Jan; 34(1):318-329. PubMed ID: 37530809
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma.
    Wang Y; Bai G; Huang M; Chen W
    Front Oncol; 2024; 14():1308317. PubMed ID: 38549935
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model.
    Gong J; Wang T; Wang Z; Chu X; Hu T; Li M; Peng W; Feng F; Tong T; Gu Y
    Cancer Imaging; 2024 Jan; 24(1):1. PubMed ID: 38167564
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction.
    Sun Y; Li C; Jin L; Gao P; Zhao W; Ma W; Tan M; Wu W; Duan S; Shan Y; Li M
    Eur Radiol; 2020 Jul; 30(7):3650-3659. PubMed ID: 32162003
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and Validation of Machine Learning Models to Predict Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Cancer: A Multi-Center Retrospective Radiomics Study.
    Liu Y; Zhou J; Wu J; Wang W; Wang X; Guo J; Wang Q; Zhang X; Li D; Xie J; Ding X; Xing Y; Hu D
    Cancer Control; 2022; 29():10732748221092926. PubMed ID: 35417660
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
    Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR
    Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359
    [No Abstract]   [Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.