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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 34795882)

  • 1. Application Value of a Deep Convolutional Neural Network Model for Cytological Assessment of Thyroid Nodules.
    Ren Y; He Y; Cong L
    J Healthc Eng; 2021; 2021():6076135. PubMed ID: 34795882
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A comparison between deep learning convolutional neural networks and radiologists in the differentiation of benign and malignant thyroid nodules on CT images.
    Zhao HB; Liu C; Ye J; Chang LF; Xu Q; Shi BW; Liu LL; Yin YL; Shi BB
    Endokrynol Pol; 2021; 72(3):217-225. PubMed ID: 33619712
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Diagnosis of thyroid micronodules on ultrasound using a deep convolutional neural network.
    Rho M; Chun SH; Lee E; Lee HS; Yoon JH; Park VY; Han K; Kwak JY
    Sci Rep; 2023 May; 13(1):7231. PubMed ID: 37142760
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [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]  

  • 5. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
    Huang W; Xue Y; Wu Y
    PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Convolutional Neural Network for Breast and Thyroid Nodules Diagnosis in Ultrasound Imaging.
    Liang X; Yu J; Liao J; Chen Z
    Biomed Res Int; 2020; 2020():1763803. PubMed ID: 32420322
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Convolutional Neural Network for Predicting Thyroid Cancer Based on Ultrasound Elastography Image of Perinodular Region.
    Hu L; Pei C; Xie L; Liu Z; He N; Lv W
    Endocrinology; 2022 Oct; 163(11):. PubMed ID: 35971296
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diagnosing thyroid nodules with atypia of undetermined significance/follicular lesion of undetermined significance cytology with the deep convolutional neural network.
    Youn I; Lee E; Yoon JH; Lee HS; Kwon MR; Moon J; Kang S; Kwon SK; Jung KY; Park YJ; Park DJ; Cho SW; Kwak JY
    Sci Rep; 2021 Oct; 11(1):20048. PubMed ID: 34625636
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Thyroid Nodule Malignancy Risk Stratification Using a Convolutional Neural Network.
    Stib MT; Pan I; Merck D; Middleton WD; Beland MD
    Ultrasound Q; 2020 Jun; 36(2):164-172. PubMed ID: 32511208
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound.
    Ko SY; Lee JH; Yoon JH; Na H; Hong E; Han K; Jung I; Kim EK; Moon HJ; Park VY; Lee E; Kwak JY
    Head Neck; 2019 Apr; 41(4):885-891. PubMed ID: 30715773
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection of Thyroid Nodules with Ultrasound Images Based on Deep Learning.
    Yu X; Wang H; Ma L
    Curr Med Imaging Rev; 2020; 16(2):174-180. PubMed ID: 32003318
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks.
    Abdolali F; Kapur J; Jaremko JL; Noga M; Hareendranathan AR; Punithakumar K
    Comput Biol Med; 2020 Jul; 122():103871. PubMed ID: 32658741
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluation of a deep learning-based computer-aided diagnosis system for distinguishing benign from malignant thyroid nodules in ultrasound images.
    Sun C; Zhang Y; Chang Q; Liu T; Zhang S; Wang X; Guo Q; Yao J; Sun W; Niu L
    Med Phys; 2020 Sep; 47(9):3952-3960. PubMed ID: 32473030
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT.
    Ohno Y; Aoyagi K; Yaguchi A; Seki S; Ueno Y; Kishida Y; Takenaka D; Yoshikawa T
    Radiology; 2020 Aug; 296(2):432-443. PubMed ID: 32452736
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.
    Ma J; Wu F; Jiang T; Zhao Q; Kong D
    Int J Comput Assist Radiol Surg; 2017 Nov; 12(11):1895-1910. PubMed ID: 28762196
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A pre-trained convolutional neural network based method for thyroid nodule diagnosis.
    Ma J; Wu F; Zhu J; Xu D; Kong D
    Ultrasonics; 2017 Jan; 73():221-230. PubMed ID: 27668999
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network.
    Koh J; Lee E; Han K; Kim EK; Son EJ; Sohn YM; Seo M; Kwon MR; Yoon JH; Lee JH; Park YM; Kim S; Shin JH; Kwak JY
    Sci Rep; 2020 Sep; 10(1):15245. PubMed ID: 32943696
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An efficient deep convolutional neural network model for visual localization and automatic diagnosis of thyroid nodules on ultrasound images.
    Zhu J; Zhang S; Yu R; Liu Z; Gao H; Yue B; Liu X; Zheng X; Gao M; Wei X
    Quant Imaging Med Surg; 2021 Apr; 11(4):1368-1380. PubMed ID: 33816175
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Cascade and Fusion of Multitask Convolutional Neural Networks for Detection of Thyroid Nodules in Contrast-Enhanced CT.
    Zhao Z; Ye C; Hu Y; Li C; Li X
    Comput Intell Neurosci; 2019; 2019():7401235. PubMed ID: 31781181
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.