BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 33797468)

  • 1. Establishment and clinical application value of an automatic diagnosis platform for rectal cancer T-staging based on a deep neural network.
    Wu QY; Liu SL; Sun P; Li Y; Liu GW; Liu SS; Hu JL; Niu TY; Lu Y
    Chin Med J (Engl); 2021 Feb; 134(7):821-828. PubMed ID: 33797468
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [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]  

  • 3. Evaluation of Rectal Cancer Circumferential Resection Margin Using Faster Region-Based Convolutional Neural Network in High-Resolution Magnetic Resonance Images.
    Wang D; Xu J; Zhang Z; Li S; Zhang X; Zhou Y; Zhang X; Lu Y
    Dis Colon Rectum; 2020 Feb; 63(2):143-151. PubMed ID: 31842158
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Deep Learning-Based Multiparametric MRI Model for Preoperative T-Stage in Rectal Cancer.
    Wei Y; Wang H; Chen Z; Zhu Y; Li Y; Lu B; Pan K; Wen C; Cao G; He Y; Zhou J; Pan Z; Wang M
    J Magn Reson Imaging; 2024 Mar; 59(3):1083-1092. PubMed ID: 37367938
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Establishment and application of an artificial intelligence diagnosis system for pancreatic cancer with a faster region-based convolutional neural network.
    Liu SL; Li S; Guo YT; Zhou YP; Zhang ZD; Li S; Lu Y
    Chin Med J (Engl); 2019 Dec; 132(23):2795-2803. PubMed ID: 31856050
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [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]  

  • 8. [Establishment of artificial neural network model for predicting lymph node metastasis in patients with stage Ⅱ-Ⅲ gastric cancer].
    Xue Z; Lu J; Lin J; Huang CM; Li P; Xie JW; Wang JB; Lin JX; Chen QY; Zheng CH
    Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Apr; 25(4):327-335. PubMed ID: 35461201
    [No Abstract]   [Full Text] [Related]  

  • 9. 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]  

  • 10. Establishment and Clinical Application of an Artificial Intelligence Diagnostic Platform for Identifying Rectal Cancer Tumor Budding.
    Liu S; Zhang Y; Ju Y; Li Y; Kang X; Yang X; Niu T; Xing X; Lu Y
    Front Oncol; 2021; 11():626626. PubMed ID: 33763362
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Histogram analysis of diffusion-weighted magnetic resonance imaging as a biomarker to predict LNM in T3 stage rectal carcinoma.
    Zhou Y; Yang R; Wang Y; Zhou M; Zhou X; Xing J; Wang X; Zhang C
    BMC Med Imaging; 2021 Nov; 21(1):176. PubMed ID: 34809615
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting the prognosis of lower rectal cancer using preoperative magnetic resonance imaging with artificial intelligence.
    Udo R; Mazaki J; Hashimoto M; Tago T; Kasahara K; Ishizaki T; Yamada T; Nagakawa Y
    Tech Coloproctol; 2023 Aug; 27(8):631-638. PubMed ID: 36800072
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Application value of texture analysis of magnetic resonance images in prediction of neoadjuvant chemoradiotherapy efficacy for rectal cancer].
    Shu Z; Fang S; Ding Z; Mao D; Pang P; Gong X
    Zhonghua Wei Chang Wai Ke Za Zhi; 2018 Sep; 21(9):1051-1058. PubMed ID: 30269327
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Diagnostic value of 3.0-tesla high-resolution magnetic resonance imaging for invasion depth of rectal cancer].
    Yao X; Song X; Wang Y
    Zhonghua Wei Chang Wai Ke Za Zhi; 2016 Jun; 19(6):668-74. PubMed ID: 27353102
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A prospective analysis of the diagnostic accuracy of 3 T MRI, CT and endoscopic ultrasound for preoperative T staging of potentially resectable esophageal cancer.
    Guo J; Wang Z; Qin J; Zhang H; Liu W; Zhao Y; Lu Y; Yan X; Zhang Z; Zhang T; Zhang S; Dominik NM; Kamel IR; Li H; Qu J
    Cancer Imaging; 2020 Sep; 20(1):64. PubMed ID: 32912319
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Application of Automated Machine Learning Based on Radiomics Features of T2WI and RS-EPI DWI to Predict Preoperative T Staging of Rectal Cancer].
    Wen DG; Hu SX; Li ZL; Deng XB; Tian C; Li X; Wang XR; Leng Q; Xia CC
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Jul; 52(4):698-705. PubMed ID: 34323052
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [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]  

  • 18. Establishment and Applicability of a Diagnostic System for Advanced Gastric Cancer T Staging Based on a Faster Region-Based Convolutional Neural Network.
    Zheng L; Zhang X; Hu J; Gao Y; Zhang X; Zhang M; Li S; Zhou X; Niu T; Lu Y; Wang D
    Front Oncol; 2020; 10():1238. PubMed ID: 32850373
    [No Abstract]   [Full Text] [Related]  

  • 19. Magnetic resonance imaging-based artificial intelligence model in rectal cancer.
    Wang PP; Deng CL; Wu B
    World J Gastroenterol; 2021 May; 27(18):2122-2130. PubMed ID: 34025068
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.