Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

453 related articles for article (PubMed ID: 30704213)

  • 1. [High definition MRI rectal lymph node aided diagnostic system based on deep neural network].
    Zhou YP; Li S; Zhang XX; Zhang ZD; Gao YX; Ding L; Lu Y
    Zhonghua Wai Ke Za Zhi; 2019 Feb; 57(2):108-113. PubMed ID: 30704213
    [No Abstract]   [Full Text] [Related]  

  • 2. [Clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer].
    Wang SZ; Wang JG; Lu Y; Zhang YJ; Xin FJ; Liu SL; Zhang XX; Liu GW; Li S; Sui D; Wang DS
    Zhonghua Wai Ke Za Zhi; 2019 Dec; 57(12):934-938. PubMed ID: 31826599
    [No Abstract]   [Full Text] [Related]  

  • 3. [Application of convolutional neural network to risk evaluation of positive circumferential resection margin of rectal cancer by magnetic resonance imaging].
    Xu JH; Zhou XM; Ma JL; Liu SS; Zhang MS; Zheng XF; Zhang XY; Liu GW; Zhang XX; Lu Y; Wang DS
    Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Jun; 23(6):572-577. PubMed ID: 32521977
    [No Abstract]   [Full Text] [Related]  

  • 4. [Diagnostic accuracy of 3.0T high-resolution MRI for assessment mesorectal lymph node metastases in patients with rectal cancer].
    Chen Y; Yang X; Lu B; Xiao X; Zhuang X; Yu S
    Zhonghua Wei Chang Wai Ke Za Zhi; 2018 Jul; 21(7):786-792. PubMed ID: 30051447
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnosis of lymph node metastasis on rectal cancer by PET-CT computer imaging combined with MRI technology.
    Li F; Hu J; Jiang H; Sun Y
    J Infect Public Health; 2020 Sep; 13(9):1347-1353. PubMed ID: 31289005
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.
    Bedrikovetski S; Dudi-Venkata NN; Kroon HM; Seow W; Vather R; Carneiro G; Moore JW; Sammour T
    BMC Cancer; 2021 Sep; 21(1):1058. PubMed ID: 34565338
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of Metastatic Lymph Nodes in MR Imaging with Faster Region-Based Convolutional Neural Networks.
    Lu Y; Yu Q; Gao Y; Zhou Y; Liu G; Dong Q; Ma J; Ding L; Yao H; Zhang Z; Xiao G; An Q; Wang G; Xi J; Yuan W; Lian Y; Zhang D; Zhao C; Yao Q; Liu W; Zhou X; Liu S; Wu Q; Xu W; Zhang J; Wang D; Sun Z; Gao Y; Zhang X; Hu J; Zhang M; Wang G; Zheng X; Wang L; Zhao J; Yang S
    Cancer Res; 2018 Sep; 78(17):5135-5143. PubMed ID: 30026330
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of lymph node metastasis in stage T1-2 rectal cancers with MRI-based deep learning.
    Wan L; Hu J; Chen S; Zhao R; Peng W; Liu Y; Hu S; Zou S; Wang S; Zhao X; Zhang H
    Eur Radiol; 2023 May; 33(5):3638-3646. PubMed ID: 36905470
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A logistic model including risk factors for lymph node metastasis can improve the accuracy of magnetic resonance imaging diagnosis of rectal cancer.
    Ogawa S; Itabashi M; Hirosawa T; Hashimoto T; Bamba Y; Kameoka S
    Asian Pac J Cancer Prev; 2015; 16(2):707-12. PubMed ID: 25684512
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancer.
    Ding L; Liu G; Zhang X; Liu S; Li S; Zhang Z; Guo Y; Lu Y
    Cancer Med; 2020 Dec; 9(23):8809-8820. PubMed ID: 32997900
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [MRI associated biomarker analysis for diagnosis of lymph node metastasis in T1-2 stage rectal cancer].
    Liu Y; Wan LJ; Zhang HM; Peng WJ; Zou SM; Ouyang H; Zhao XM; Zhou CW
    Zhonghua Zhong Liu Za Zhi; 2021 Feb; 43(2):207-212. PubMed ID: 33601486
    [No Abstract]   [Full Text] [Related]  

  • 12. A predictive nomogram improved diagnostic accuracy and interobserver agreement of perirectal lymph nodes metastases in rectal cancer.
    Liu Y; Wang R; Ding Y; Tu S; Liu Y; Qian Y; Xu L; Tong T; Cai S; Peng J
    Oncotarget; 2016 Mar; 7(12):14755-64. PubMed ID: 26910373
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of Lateral Pelvic Lymph-Node Metastasis in Low Rectal Cancer by Magnetic Resonance Imaging.
    Ishibe A; Ota M; Watanabe J; Suwa Y; Suzuki S; Kanazawa A; Watanabe K; Ichikawa Y; Kunisaki C; Endo I
    World J Surg; 2016 Apr; 40(4):995-1001. PubMed ID: 26541864
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Assessment of lymph node status in rectal cancer by imaging].
    Wang Y
    Zhonghua Wei Chang Wai Ke Za Zhi; 2016 Jun; 19(6):630-3. PubMed ID: 27353097
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.
    Zhou LQ; Wu XL; Huang SY; Wu GG; Ye HR; Wei Q; Bao LY; Deng YB; Li XR; Cui XW; Dietrich CF
    Radiology; 2020 Jan; 294(1):19-28. PubMed ID: 31746687
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Optimal diagnostic criteria for lateral pelvic lymph node metastasis in rectal carcinoma.
    Matsuoka H; Nakamura A; Masaki T; Sugiyama M; Nitatori T; Ohkura Y; Sakamoto A; Atomi Y
    Anticancer Res; 2007; 27(5B):3529-33. PubMed ID: 17972513
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence system of faster region-based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer.
    Ding L; Liu GW; Zhao BC; Zhou YP; Li S; Zhang ZD; Guo YT; Li AQ; Lu Y; Yao HW; Yuan WT; Wang GY; Zhang DL; Wang L
    Chin Med J (Engl); 2019 Feb; 132(4):379-387. PubMed ID: 30707177
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep neural network-assisted computed tomography diagnosis of metastatic lymph nodes from gastric cancer.
    Gao Y; Zhang ZD; Li S; Guo YT; Wu QY; Liu SH; Yang SJ; Ding L; Zhao BC; Li S; Lu Y
    Chin Med J (Engl); 2019 Dec; 132(23):2804-2811. PubMed ID: 31856051
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning-based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study.
    Zhao X; Xie P; Wang M; Li W; Pickhardt PJ; Xia W; Xiong F; Zhang R; Xie Y; Jian J; Bai H; Ni C; Gu J; Yu T; Tang Y; Gao X; Meng X
    EBioMedicine; 2020 Jun; 56():102780. PubMed ID: 32512507
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.