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 *

141 related articles for article (PubMed ID: 29577701)

  • 1. [Automated Assessment for Bone Age of Left Wrist Joint in Uyghur Teenagers by Deep Learning].
    Hu TH; Huo Z; Liu TA; Wang F; Wan L; Wang MW; Chen T; Wang YH
    Fa Yi Xue Za Zhi; 2018 Feb; 34(1):27-32. PubMed ID: 29577701
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Regression Algorithm of Bone Age Estimation of Knee-joint Based on Principal Component Analysis and Support Vector Machine.
    Lei YY; Shen YS; Wang YH; Zhao H
    Fa Yi Xue Za Zhi; 2019 Apr; 35(2):194-199. PubMed ID: 31135114
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Deep Automated Skeletal Bone Age Assessment Model with Heterogeneous Features Learning.
    Tong C; Liang B; Li J; Zheng Z
    J Med Syst; 2018 Nov; 42(12):249. PubMed ID: 30390162
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Advantages and Application Prospects of Deep Learning in Image Recognition and Bone Age Assessment].
    Hu TH; Wan L; Liu TA; Wang MW; Chen T; Wang YH
    Fa Yi Xue Za Zhi; 2017 Dec; 33(6):629-634. PubMed ID: 29441773
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated age estimation of young individuals based on 3D knee MRI using deep learning.
    Mauer MA; Well EJ; Herrmann J; Groth M; Morlock MM; Maas R; Säring D
    Int J Legal Med; 2021 Mar; 135(2):649-663. PubMed ID: 33331995
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Long-term trend of bone development in the contemporary teenagers of Chinese Han nationality.
    Wang YH; Ying CL; Wan L; Zhu GY
    Fa Yi Xue Za Zhi; 2012 Aug; 28(4):269-74. PubMed ID: 23033665
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Age Estimation by Machine Learning and CT-Multiplanar Reformation of Cranial Sutures in Northern Chinese Han Adults.
    Wei X; Chen YS; Ding J; Song CX; Wang JJ; Peng Z; Deng ZH; Yi X; Fan F
    Fa Yi Xue Za Zhi; 2024 Apr; 40(2):128-134. PubMed ID: 38847026
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Research on multi-class orthodontic image recognition system based on deep learning network model].
    Wang SF; Xie XJ; Zhang L; Chang S; Zuo FF; Wang YJ; Bai YX
    Zhonghua Kou Qiang Yi Xue Za Zhi; 2023 Jun; 58(6):561-568. PubMed ID: 37272001
    [No Abstract]   [Full Text] [Related]  

  • 9. Forensic age estimation for pelvic X-ray images using deep learning.
    Li Y; Huang Z; Dong X; Liang W; Xue H; Zhang L; Zhang Y; Deng Z
    Eur Radiol; 2019 May; 29(5):2322-2329. PubMed ID: 30402703
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment.
    Lee BD; Lee MS
    Korean J Radiol; 2021 May; 22(5):792-800. PubMed ID: 33569930
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automatic bone age assessment based on intelligent algorithms and comparison with TW3 method.
    Liu J; Qi J; Liu Z; Ning Q; Luo X
    Comput Med Imaging Graph; 2008 Dec; 32(8):678-84. PubMed ID: 18835130
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Skeletal bone age prediction based on a deep residual network with spatial transformer.
    Han Y; Wang G
    Comput Methods Programs Biomed; 2020 Dec; 197():105754. PubMed ID: 32957059
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Bone development trend in the knee joint of Tibetan teenagers in Aba Prefecture of Sichuan Province].
    Ding SR; Ying CL; Wan L; Wei H; Wang YH; Zhu GY
    Fa Yi Xue Za Zhi; 2013 Aug; 29(4):244-7, 251. PubMed ID: 24350536
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Traditional and New Methods of Bone Age Assessment-An Overview.
    Prokop-Piotrkowska M; Marszałek-Dziuba K; Moszczyńska E; Szalecki M; Jurkiewicz E
    J Clin Res Pediatr Endocrinol; 2021 Aug; 13(3):251-262. PubMed ID: 33099993
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Automated assessment of developmental levels of epiphysis by support vector machine].
    Wang YH; Wang ZS; Wei H; Wan L; Ying CL; Zhu GY
    Fa Yi Xue Za Zhi; 2014 Dec; 30(6):422-6. PubMed ID: 25816571
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Skeletal bone age assessments for young children based on regression convolutional neural networks.
    Hao PY; Chokuwa S; Xie XH; Wu FL; Wu J; Bai C
    Math Biosci Eng; 2019 Jul; 16(6):6454-6466. PubMed ID: 31698572
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Magnetic Resonance Imaging Image Segmentation under Edge Detection Intelligent Algorithm in Diagnosis of Surgical Wrist Joint Injuries.
    Li Z; Ji X
    Contrast Media Mol Imaging; 2021; 2021():6891120. PubMed ID: 34671229
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning for automated skeletal bone age assessment in X-ray images.
    Spampinato C; Palazzo S; Giordano D; Aldinucci M; Leonardi R
    Med Image Anal; 2017 Feb; 36():41-51. PubMed ID: 27816861
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Carpal Bone Segmentation Using Fully Convolutional Neural Network.
    Meng LK; Khalil A; Ahmad Nizar MH; Nisham MK; Pingguan-Murphy B; Hum YC; Mohamad Salim MI; Lai KW
    Curr Med Imaging Rev; 2019; 15(10):983-989. PubMed ID: 32008525
    [TBL] [Abstract][Full Text] [Related]  

  • 20. What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescents.
    Urschler M; Grassegger S; Štern D
    Ann Hum Biol; 2015; 42(4):358-67. PubMed ID: 26313328
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.