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Journal Abstract Search

245 related items for PubMed ID: 34874188

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  • 2. RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study.
    Qian W, Li Z, Chen W, Yin H, Zhang J, Xu J, Hu C.
    BMC Med Imaging; 2022 Dec 17; 22(1):221. PubMed ID: 36528577
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  • 7. Deep-learning features based on F18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) to predict preoperative colorectal cancer lymph node metastasis.
    Wang H, Zhang J, Li Y, Wang D, Zhang T, Yang F, Li Y, Zhang Y, Yang L, Li P.
    Clin Radiol; 2024 Sep 17; 79(9):e1152-e1158. PubMed ID: 38955636
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  • 8. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
    Zheng X, Shao J, Zhou L, Wang L, Ge Y, Wang G, Feng F.
    Ther Innov Regul Sci; 2022 Jan 17; 56(1):155-167. PubMed ID: 34699046
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  • 9. Radiomics from Primary Tumor on Dual-Energy CT Derived Iodine Maps can Predict Cervical Lymph Node Metastasis in Papillary Thyroid Cancer.
    Zhou Y, Su GY, Hu H, Tao XW, Ge YQ, Si Y, Shen MP, Xu XQ, Wu FY.
    Acad Radiol; 2022 Mar 17; 29 Suppl 3():S222-S231. PubMed ID: 34366279
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  • 11. Radiomics analysis of CT imaging improves preoperative prediction of cervical lymph node metastasis in laryngeal squamous cell carcinoma.
    Zhao X, Li W, Zhang J, Tian S, Zhou Y, Xu X, Hu H, Lei D, Wu F.
    Eur Radiol; 2023 Feb 17; 33(2):1121-1131. PubMed ID: 35984515
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  • 12. A CT-based deep learning model for subsolid pulmonary nodules to distinguish minimally invasive adenocarcinoma and invasive adenocarcinoma.
    Chen X, Feng B, Chen Y, Duan X, Liu K, Li K, Zhang C, Liu X, Long W.
    Eur J Radiol; 2021 Dec 17; 145():110041. PubMed ID: 34837794
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  • 13. Ultrasound-based radiomics analysis for preoperative prediction of central and lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multi-institutional study.
    Tong Y, Zhang J, Wei Y, Yu J, Zhan W, Xia H, Zhou S, Wang Y, Chang C.
    BMC Med Imaging; 2022 May 02; 22(1):82. PubMed ID: 35501717
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  • 14. Radiomics signature based on computed tomography images for the preoperative prediction of lymph node metastasis at individual stations in gastric cancer: A multicenter study.
    Sun Z, Jiang Y, Chen C, Zheng H, Huang W, Xu B, Tang W, Yuan Q, Zhou K, Liang X, Chen H, Han Z, Feng H, Yu S, Hu Y, Yu J, Zhou Z, Wang W, Xu Y, Li G.
    Radiother Oncol; 2021 Dec 02; 165():179-190. PubMed ID: 34774652
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  • 17. Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes.
    Chen X, Feng B, Xu K, Chen Y, Duan X, Jin Z, Li K, Li R, Long W, Liu X.
    Eur Radiol; 2023 Oct 02; 33(10):6804-6816. PubMed ID: 37148352
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  • 20. Nomogram based on prognostic nutrition index and Chest CT imaging signs predicts lymph node metastasis in NSCLC patients.
    Chen M, Yang Y, He C, Chen L, Cheng J.
    J Xray Sci Technol; 2022 Oct 02; 30(3):599-612. PubMed ID: 35311733
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