These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

183 related articles for article (PubMed ID: 30026330)

  • 1. 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]  

  • 2. 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]  

  • 3. [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]  

  • 4. Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.
    Ha R; Chang P; Karcich J; Mutasa S; Fardanesh R; Wynn RT; Liu MZ; Jambawalikar S
    J Digit Imaging; 2018 Dec; 31(6):851-856. PubMed ID: 29696472
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. [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]  

  • 7. [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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 99mTc-Nanocolloid SPECT/MRI Fusion for the Selective Assessment of Nonenlarged Sentinel Lymph Nodes in Patients with Early-Stage Cervical Cancer.
    Hoogendam JP; Zweemer RP; Hobbelink MG; van den Bosch MA; Verheijen RH; Veldhuis WB
    J Nucl Med; 2016 Apr; 57(4):551-6. PubMed ID: 26678614
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network].
    Yang SJ; Lu Y; Zheng XF; Zhang YJ; Xin FJ; Sun P; Li Y; Liu SS; Li S; Guo YT; Liu SL
    Zhonghua Wai Ke Za Zhi; 2020 Jul; 58(7):520-524. PubMed ID: 32610422
    [No Abstract]   [Full Text] [Related]  

  • 12. Deep learning method with a convolutional neural network for image classification of normal and metastatic axillary lymph nodes on breast ultrasonography.
    Ozaki J; Fujioka T; Yamaga E; Hayashi A; Kujiraoka Y; Imokawa T; Takahashi K; Okawa S; Yashima Y; Mori M; Kubota K; Oda G; Nakagawa T; Tateishi U
    Jpn J Radiol; 2022 Aug; 40(8):814-822. PubMed ID: 35284996
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [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]  

  • 14. Fuzzy C-means clustering of magnetic resonance imaging on apparent diffusion coefficient maps for predicting nodal metastasis in head and neck cancer.
    Lee MC; Chuang KS; Chen MK; Liu CK; Lee KW; Tsai HY; Lin HH
    Br J Radiol; 2016 Jul; 89(1063):20150059. PubMed ID: 27168028
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Diagnostic significance of lymphoscintigraphy in cancer of the rectum].
    Kanaev SV; Metelev VV; Bykov SA; Mel'nikov RA; Kovalev VK
    Vopr Onkol; 1988; 34(7):814-9. PubMed ID: 3420823
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Additional value of MR/PET fusion compared with PET/CT in the detection of lymph node metastases in cervical cancer patients.
    Kim SK; Choi HJ; Park SY; Lee HY; Seo SS; Yoo CW; Jung DC; Kang S; Cho KS
    Eur J Cancer; 2009 Aug; 45(12):2103-9. PubMed ID: 19403303
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of dynamic helical CT and dynamic MR imaging in the evaluation of pelvic lymph nodes in cervical carcinoma.
    Yang WT; Lam WW; Yu MY; Cheung TH; Metreweli C
    AJR Am J Roentgenol; 2000 Sep; 175(3):759-66. PubMed ID: 10954463
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning.
    Tan L; Li H; Yu J; Zhou H; Wang Z; Niu Z; Li J; Li Z
    Med Biol Eng Comput; 2023 Jun; 61(6):1565-1580. PubMed ID: 36809427
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Preoperative diagnosis of lymph node metastases in gastric cancer by magnetic resonance imaging with ferumoxtran-10.
    Tatsumi Y; Tanigawa N; Nishimura H; Nomura E; Mabuchi H; Matsuki M; Narabayashi I
    Gastric Cancer; 2006; 9(2):120-8. PubMed ID: 16767368
    [TBL] [Abstract][Full Text] [Related]  

  • 20. In vitro diagnosis of axillary lymph node metastases in breast cancer by spectrum analysis of radio frequency echo signals.
    Tateishi T; Machi J; Feleppa EJ; Oishi R; Jucha J; Yanagihara E; McCarthy LJ; Noritomi T; Shirouzu K
    Ultrasound Med Biol; 1998 Oct; 24(8):1151-9. PubMed ID: 9833584
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.