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 *

146 related articles for article (PubMed ID: 34134084)

  • 1. Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge.
    Wang L; Xie C; Lin Y; Zhou HY; Chen K; Cheng D; Dubost F; Collery B; Khanal B; Khanal B; Tao R; Xu S; Upadhyay Bharadwaj U; Zhong Z; Li J; Wang S; Li S
    Med Image Anal; 2021 Aug; 72():102115. PubMed ID: 34134084
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated comprehensive Adolescent Idiopathic Scoliosis assessment using MVC-Net.
    Wu H; Bailey C; Rasoulinejad P; Li S
    Med Image Anal; 2018 Aug; 48():1-11. PubMed ID: 29803920
    [TBL] [Abstract][Full Text] [Related]  

  • 3. W-Transformer: Accurate Cobb angles estimation by using a transformer-based hybrid structure.
    Yao Y; Yu W; Gao Y; Dong J; Xiao Q; Huang B; Shi Z
    Med Phys; 2022 May; 49(5):3246-3262. PubMed ID: 35194794
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accurate automated Cobb angles estimation using multi-view extrapolation net.
    Wang L; Xu Q; Leung S; Chung J; Chen B; Li S
    Med Image Anal; 2019 Dec; 58():101542. PubMed ID: 31473518
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of spinal curvature parameters as determined by the ZEBRIS spine examination method and the Cobb method in children with scoliosis.
    Takács M; Orlovits Z; Jáger B; Kiss RM
    PLoS One; 2018; 13(7):e0200245. PubMed ID: 29985957
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network.
    Horng MH; Kuok CP; Fu MJ; Lin CJ; Sun YN
    Comput Math Methods Med; 2019; 2019():6357171. PubMed ID: 30996731
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MPF-net: An effective framework for automated cobb angle estimation.
    Zhang K; Xu N; Guo C; Wu J
    Med Image Anal; 2022 Jan; 75():102277. PubMed ID: 34753020
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A computerized method for evaluating scoliotic deformities using elliptical pattern recognition in X-ray spine images.
    Pinheiro AP; Coelho JC; Veiga ACP; Vrtovec T
    Comput Methods Programs Biomed; 2018 Jul; 161():85-92. PubMed ID: 29852970
    [TBL] [Abstract][Full Text] [Related]  

  • 9. VLTENet: A Deep-Learning-Based Vertebra Localization and Tilt Estimation Network for Automatic Cobb Angle Estimation.
    Zou L; Guo L; Zhang R; Ni L; Chen Z; He X; Wang J
    IEEE J Biomed Health Inform; 2023 Jun; 27(6):3002-3013. PubMed ID: 37030726
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic Vertebrae Localization and Spine Centerline Extraction in Radiographs of Patients with Adolescent Idiopathic Scoliosis.
    Renganathan G; Manaswi N; Ghionea I; Cukovic S
    Stud Health Technol Inform; 2021 May; 281():288-292. PubMed ID: 34042751
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset.
    Liu T; Wang Y; Yang Y; Sun M; Fan W; Bunger C; Wu C
    Artif Intell Med; 2022 Mar; 125():102235. PubMed ID: 35241256
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Unsupervised local center of mass based scoliosis spinal segmentation and Cobb angle measurement.
    Sikkandar MY; Alhashim MM; Alassaf A; AlMohimeed I; Alhussaini K; Aleid A; Almutairi MJ; Alshammari SH; Asiri YN; Sabarunisha Begum S
    PLoS One; 2024; 19(3):e0300685. PubMed ID: 38512969
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of a computer-aided method for measuring the Cobb angle on chest X-rays.
    Pan Y; Chen Q; Chen T; Wang H; Zhu X; Fang Z; Lu Y
    Eur Spine J; 2019 Dec; 28(12):3035-3043. PubMed ID: 31446493
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computerized-Assisted Scoliosis Diagnosis Based on Faster R-CNN and ResNet for the Classification of Spine X-Ray Images.
    Chen P; Zhou Z; Yu H; Chen K; Yang Y
    Comput Math Methods Med; 2022; 2022():3796202. PubMed ID: 35707041
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic spine curvature estimation from X-ray images of a mouse model.
    Okashi OA; Du H; Al-Assam H
    Comput Methods Programs Biomed; 2017 Mar; 140():175-184. PubMed ID: 28254073
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An integrative framework for 3D cobb angle measurement on CT images.
    Huo X; Tan JQ; Qian J; Cheng L; Jing JH; Shao K; Li BN
    Comput Biol Med; 2017 Mar; 82():111-118. PubMed ID: 28183004
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Review of the Methods on Cobb Angle Measurements for Spinal Curvature.
    Jin C; Wang S; Yang G; Li E; Liang Z
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590951
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Vertebral rotation estimation from frontal X-rays using a quasi-automated pedicle detection method.
    Ebrahimi S; Gajny L; Vergari C; Angelini ED; Skalli W
    Eur Spine J; 2019 Dec; 28(12):3026-3034. PubMed ID: 31584120
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Validation of the DTP-3 system for noninvasive spinal shape measurement by comparison with X-ray examination].
    Krejčí J; Gallo J; Salinger J; Štěpaník P
    Acta Chir Orthop Traumatol Cech; 2012; 79(3):255-62. PubMed ID: 22840958
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computerized image understanding system for reliable estimation of spinal curvature in idiopathic scoliosis.
    Thalengala A; Bhat SN; Anitha H
    Sci Rep; 2021 Mar; 11(1):7144. PubMed ID: 33785803
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.