BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 34090261)

  • 1. Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning.
    Wang YW; Chen CJ; Huang HC; Wang TC; Chen HM; Shih JY; Chen JS; Huang YS; Chang YC; Chang RF
    Comput Med Imaging Graph; 2021 Jul; 91():101935. PubMed ID: 34090261
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-energy level fusion for nodal metastasis classification of primary lung tumor on dual energy CT using deep learning.
    Wang YW; Chen CJ; Wang TC; Huang HC; Chen HM; Shih JY; Chen JS; Huang YS; Chang YC; Chang RF
    Comput Biol Med; 2022 Feb; 141():105185. PubMed ID: 34986453
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.
    An C; Li D; Li S; Li W; Tong T; Liu L; Jiang D; Jiang L; Ruan G; Hai N; Fu Y; Wang K; Zhuo S; Tian J
    Eur J Nucl Med Mol Imaging; 2022 Mar; 49(4):1187-1199. PubMed ID: 34651229
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Head and neck squamous cell carcinoma: prediction of cervical lymph node metastasis by dual-energy CT texture analysis with machine learning.
    Forghani R; Chatterjee A; Reinhold C; Pérez-Lara A; Romero-Sanchez G; Ueno Y; Bayat M; Alexander JWM; Kadi L; Chankowsky J; Seuntjens J; Forghani B
    Eur Radiol; 2019 Nov; 29(11):6172-6181. PubMed ID: 30980127
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT.
    Lee JH; Ha EJ; Kim JH
    Eur Radiol; 2019 Oct; 29(10):5452-5457. PubMed ID: 30877461
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of pathological nodal involvement by CT-based Radiomic features of the primary tumor in patients with clinically node-negative peripheral lung adenocarcinomas.
    Liu Y; Kim J; Balagurunathan Y; Hawkins S; Stringfield O; Schabath MB; Li Q; Qu F; Liu S; Garcia AL; Ye Z; Gillies RJ
    Med Phys; 2018 Jun; 45(6):2518-2526. PubMed ID: 29624702
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [The value of spectral CT-based radiomics in preoperative prediction of lymph node metastasis of advanced gastric cancer].
    Wang R; Li J; Fang MJ; Dong D; Liang P; Gao JB
    Zhonghua Yi Xue Za Zhi; 2020 Jun; 100(21):1617-1622. PubMed ID: 32486595
    [No Abstract]   [Full Text] [Related]  

  • 8. [GSI Quantitative Parameters: Preoperative Diagnosis of Metastasis Lymph Nodes in Lung Cancer].
    Yang F; Dong J; Yan X; Wang X; Fu X; Zhang T
    Zhongguo Fei Ai Za Zhi; 2016 Nov; 19(11):738-745. PubMed ID: 27866516
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma.
    Zhao X; Wang X; Xia W; Li Q; Zhou L; Li Q; Zhang R; Cai J; Jian J; Fan L; Wang W; Bai H; Li Z; Xiao Y; Tang Y; Gao X; Liu S
    Lung Cancer; 2020 Jul; 145():10-17. PubMed ID: 32387813
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer.
    Wu Q; Wang S; Zhang S; Wang M; Ding Y; Fang J; Wu Q; Qian W; Liu Z; Sun K; Jin Y; Ma H; Tian J
    JAMA Netw Open; 2020 Jul; 3(7):e2011625. PubMed ID: 32706384
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning analysis of the primary tumour and the prediction of lymph node metastases in gastric cancer.
    Jin C; Jiang Y; Yu H; Wang W; Li B; Chen C; Yuan Q; Hu Y; Xu Y; Zhou Z; Li G; Li R
    Br J Surg; 2021 May; 108(5):542-549. PubMed ID: 34043780
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images.
    Zhao X; Wang X; Xia W; Zhang R; Jian J; Zhang J; Zhu Y; Tang Y; Li Z; Liu S; Gao X
    Comput Med Imaging Graph; 2021 Oct; 93():101987. PubMed ID: 34610501
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Dual-Energy Computed Tomography for the Diagnosis of Mediastinal Lymph Node Metastasis in Lung Cancer Patients: A Preliminary Study.
    Hu X; Gu Q; Zhang K; Deng D; Li L; Li P; Shen H
    J Comput Assist Tomogr; 2021 May-Jun 01; 45(3):490-494. PubMed ID: 34297519
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improving Image Quality for Lung Cancer Imaging With Optimal Monochromatic Energy Level in Dual Energy Spectral Computed Tomography.
    Hou W; Sun X; Yin Y; Cheng J; Zhang Q; Xu J; Li Y; Zhou W; Wu H
    J Comput Assist Tomogr; 2016; 40(2):243-7. PubMed ID: 26760189
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Differences of Energy Spectrum CT Findings between Small Cell Lung Cancer with Mediastinal Lymph Node Metastasis and Mediastinal Sarcoidosis].
    Ma T; Cao LX; Li HJ; Ren HL; Chen DP; Gao Y; Li ZD; Zhao XB; Dong SQ
    Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2021 Feb; 43(1):53-56. PubMed ID: 33663663
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Risk factors for predicting the occult nodal metastasis in T1-2N0M0 NSCLC patients staged by PET/CT: potential value in the clinic.
    Li L; Ren S; Zhang Y; Guan Y; Zhao J; Liu J; Wang Q; Chen G; Chen H; Xiang J; Fu X
    Lung Cancer; 2013 Aug; 81(2):213-7. PubMed ID: 23664030
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application of spectral CT imaging in evaluating lymph node metastasis in patients with gastric cancers: initial findings.
    Zhou Z; Liu Y; Meng K; Guan W; He J; Liu S; Zhou Z
    Acta Radiol; 2019 Apr; 60(4):415-424. PubMed ID: 29979106
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks.
    Kann BH; Aneja S; Loganadane GV; Kelly JR; Smith SM; Decker RH; Yu JB; Park HS; Yarbrough WG; Malhotra A; Burtness BA; Husain ZA
    Sci Rep; 2018 Sep; 8(1):14036. PubMed ID: 30232350
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improvement of image quality for pancreatic cancer using deep learning-generated virtual monochromatic images: Comparison with single-energy computed tomography.
    Ohira S; Koike Y; Akino Y; Kanayama N; Wada K; Ueda Y; Masaoka A; Washio H; Miyazaki M; Koizumi M; Ogawa K; Teshima T
    Phys Med; 2021 May; 85():8-14. PubMed ID: 33940528
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using the K-nearest neighbor algorithm for the classification of lymph node metastasis in gastric cancer.
    Li C; Zhang S; Zhang H; Pang L; Lam K; Hui C; Zhang S
    Comput Math Methods Med; 2012; 2012():876545. PubMed ID: 23150740
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.