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 *

266 related articles for article (PubMed ID: 32818085)

  • 1. Evaluating the Performance of Various Machine Learning Algorithms to Detect Subclinical Keratoconus.
    Cao K; Verspoor K; Sahebjada S; Baird PN
    Transl Vis Sci Technol; 2020 Apr; 9(2):24. PubMed ID: 32818085
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning with a reduced dimensionality representation of comprehensive Pentacam tomography parameters to identify subclinical keratoconus.
    Cao K; Verspoor K; Chan E; Daniell M; Sahebjada S; Baird PN
    Comput Biol Med; 2021 Nov; 138():104884. PubMed ID: 34607273
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of a Machine-Learning Classifier for Keratoconus Detection Based on Scheimpflug Tomography.
    Ruiz Hidalgo I; Rodriguez P; Rozema JJ; Ní Dhubhghaill S; Zakaria N; Tassignon MJ; Koppen C
    Cornea; 2016 Jun; 35(6):827-32. PubMed ID: 27055215
    [TBL] [Abstract][Full Text] [Related]  

  • 4. KeratoScreen: Early Keratoconus Classification With Zernike Polynomial Using Deep Learning.
    Gao HB; Pan ZG; Shen MX; Lu F; Li H; Zhang XQ
    Cornea; 2022 Sep; 41(9):1158-1165. PubMed ID: 35543584
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Use of machine learning to achieve keratoconus detection skills of a corneal expert.
    Cohen E; Bank D; Sorkin N; Giryes R; Varssano D
    Int Ophthalmol; 2022 Dec; 42(12):3837-3847. PubMed ID: 35953576
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Keratoconus detection and classification from parameters of the Corvis®ST : A study based on algorithms of machine learning].
    Langenbucher A; Häfner L; Eppig T; Seitz B; Szentmáry N; Flockerzi E
    Ophthalmologe; 2021 Jul; 118(7):697-706. PubMed ID: 32970190
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning analysis with the comprehensive index of corneal tomographic and biomechanical parameters in detecting pediatric subclinical keratoconus.
    Ren S; Yang K; Xu L; Fan Q; Gu Y; Pang C; Zhao D
    Front Bioeng Biotechnol; 2023; 11():1273500. PubMed ID: 38125302
    [No Abstract]   [Full Text] [Related]  

  • 8. Development of a classification system based on corneal biomechanical properties using artificial intelligence predicting keratoconus severity.
    Herber R; Pillunat LE; Raiskup F
    Eye Vis (Lond); 2021 Jun; 8(1):21. PubMed ID: 34059127
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Use of a support vector machine for keratoconus and subclinical keratoconus detection by topographic and tomographic data.
    Arbelaez MC; Versaci F; Vestri G; Barboni P; Savini G
    Ophthalmology; 2012 Nov; 119(11):2231-8. PubMed ID: 22892148
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Increased epithelial backscatter: A novel finding in subclinical and clinical keratoconus.
    Toprak I; Gunes CE
    Clin Exp Ophthalmol; 2021 Dec; 49(9):1000-1008. PubMed ID: 34472198
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of the diagnostic ability of vector parameters characterizing the corneal astigmatism and regularity in clinical and subclinical keratoconus.
    Martínez-Abad A; Piñero DP; Ruiz-Fortes P; Artola A
    Cont Lens Anterior Eye; 2017 Apr; 40(2):88-96. PubMed ID: 27931882
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detection of subclinical keratoconus using an automated decision tree classification.
    Smadja D; Touboul D; Cohen A; Doveh E; Santhiago MR; Mello GR; Krueger RR; Colin J
    Am J Ophthalmol; 2013 Aug; 156(2):237-246.e1. PubMed ID: 23746611
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Combinations of Scheimpflug tomography, ocular coherence tomography and air-puff tonometry improve the detection of keratoconus.
    Lu NJ; Koppen C; Hafezi F; Ní Dhubhghaill S; Aslanides IM; Wang QM; Cui LL; Rozema JJ
    Cont Lens Anterior Eye; 2023 Jun; 46(3):101840. PubMed ID: 37055334
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparative evaluation of Scheimpflug tomography parameters between thin non-keratoconic, subclinical keratoconic, and mild keratoconic corneas.
    Huseynli S; Salgado-Borges J; Alio JL
    Eur J Ophthalmol; 2018 Sep; 28(5):521-534. PubMed ID: 29566542
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Assessment of anterior segment parameters of keratoconus eyes in an Australian population.
    Sahebjada S; Xie J; Chan E; Snibson G; Daniel M; Baird PN
    Optom Vis Sci; 2014 Jul; 91(7):803-9. PubMed ID: 24901485
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Characteristics of corneal topography in parents of keratoconus patients].
    Li J; Jing LL; Du XL
    Zhonghua Yan Ke Za Zhi; 2020 Jun; 56(6):456-464. PubMed ID: 32842328
    [No Abstract]   [Full Text] [Related]  

  • 17. [Suitability of various topographic corneal parameters for diagnosis of early keratoconus].
    Bühren J; Kook D; Kohnen T
    Ophthalmologe; 2012 Jan; 109(1):37-44. PubMed ID: 22274296
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Proposing an ensemble learning model based on neural network and fuzzy system for keratoconus diagnosis based on Pentacam measurements.
    Ghaderi M; Sharifi A; Jafarzadeh Pour E
    Int Ophthalmol; 2021 Dec; 41(12):3935-3948. PubMed ID: 34322847
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of multimetric D index with keratometric, pachymetric, and posterior elevation parameters in diagnosing subclinical keratoconus in fellow eyes of asymmetric keratoconus patients.
    Muftuoglu O; Ayar O; Hurmeric V; Orucoglu F; Kılıc I
    J Cataract Refract Surg; 2015 Mar; 41(3):557-65. PubMed ID: 25708211
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine Learning Algorithms to Detect Subclinical Keratoconus: Systematic Review.
    Maile H; Li JO; Gore D; Leucci M; Mulholland P; Hau S; Szabo A; Moghul I; Balaskas K; Fujinami K; Hysi P; Davidson A; Liskova P; Hardcastle A; Tuft S; Pontikos N
    JMIR Med Inform; 2021 Dec; 9(12):e27363. PubMed ID: 34898463
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.