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 *

248 related articles for article (PubMed ID: 32215587)

  • 1. Screening Candidates for Refractive Surgery With Corneal Tomographic-Based Deep Learning.
    Xie Y; Zhao L; Yang X; Wu X; Yang Y; Huang X; Liu F; Xu J; Lin L; Lin H; Feng Q; Lin H; Liu Q
    JAMA Ophthalmol; 2020 May; 138(5):519-526. PubMed ID: 32215587
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. [Advance of screening keratoconus before refractive surgery with machine learning].
    Guo Y; Wang Y
    Zhonghua Yan Ke Za Zhi; 2021 Oct; 57(10):796-800. PubMed ID: 34619953
    [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. Accuracy of machine learning classifiers using bilateral data from a Scheimpflug camera for identifying eyes with preclinical signs of keratoconus.
    Kovács I; Miháltz K; Kránitz K; Juhász É; Takács Á; Dienes L; Gergely R; Nagy ZZ
    J Cataract Refract Surg; 2016 Feb; 42(2):275-83. PubMed ID: 27026453
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparative evaluation of refractive surgery candidates with Placido topography, Orbscan II, Pentacam, and wavefront analysis.
    Nilforoushan MR; Speaker M; Marmor M; Abramson J; Tullo W; Morschauser D; Latkany R
    J Cataract Refract Surg; 2008 Apr; 34(4):623-31. PubMed ID: 18361985
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [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]  

  • 8. Comparison of Artificial Intelligence-Based Machine Learning Classifiers for Early Detection of Keratoconus.
    Mohammadpour M; Heidari Z; Hashemi H; Yaseri M; Fotouhi A
    Eur J Ophthalmol; 2022 May; 32(3):1352-1360. PubMed ID: 35060771
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Angle κ and its effect on the corneal elevation maps in refractive surgery candidates.
    Salouti R; Nowroozzadeh MH; Azizi A; Salouti K; Ghoreyshi M; Oboodi R; Tajbakhsh Z
    J Cataract Refract Surg; 2022 Oct; 48(10):1148-1154. PubMed ID: 35404317
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of Color-Coded Scheimpflug Camera Corneal Tomography Images Using Deep Learning.
    Abdelmotaal H; Mostafa MM; Mostafa ANR; Mohamed AA; Abdelazeem K
    Transl Vis Sci Technol; 2020 Dec; 9(13):30. PubMed ID: 33384884
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial intelligence applications in different imaging modalities for corneal topography.
    Shanthi S; Aruljyothi L; Balasundaram MB; Janakiraman A; Nirmaladevi K; Pyingkodi M
    Surv Ophthalmol; 2022; 67(3):801-816. PubMed ID: 34450134
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluation of artificial intelligence models for the detection of asymmetric keratoconus eyes using Scheimpflug tomography.
    Xu Z; Feng R; Jin X; Hu H; Ni S; Xu W; Zheng X; Wu J; Yao K
    Clin Exp Ophthalmol; 2022 Sep; 50(7):714-723. PubMed ID: 35704615
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sensitivity and specificity of posterior corneal elevation measured by Pentacam in discriminating keratoconus/subclinical keratoconus.
    de Sanctis U; Loiacono C; Richiardi L; Turco D; Mutani B; Grignolo FM
    Ophthalmology; 2008 Sep; 115(9):1534-9. PubMed ID: 18405974
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.
    Lopes BT; Ramos IC; Salomão MQ; Guerra FP; Schallhorn SC; Schallhorn JM; Vinciguerra R; Vinciguerra P; Price FW; Price MO; Reinstein DZ; Archer TJ; Belin MW; Machado AP; Ambrósio R
    Am J Ophthalmol; 2018 Nov; 195():223-232. PubMed ID: 30098348
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. A Review of Machine Learning Techniques for Keratoconus Detection and Refractive Surgery Screening.
    Lin SR; Ladas JG; Bahadur GG; Al-Hashimi S; Pineda R
    Semin Ophthalmol; 2019; 34(4):317-326. PubMed ID: 31304857
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accuracy of Scheimpflug-derived corneal biomechanical and tomographic indices for detecting subclinical and mild keratectasia in a South Asian population.
    Kataria P; Padmanabhan P; Gopalakrishnan A; Padmanaban V; Mahadik S; Ambrósio R
    J Cataract Refract Surg; 2019 Mar; 45(3):328-336. PubMed ID: 30527442
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Tomographic parameters for the detection of keratoconus: suggestions for screening and treatment parameters.
    Belin MW; Villavicencio OF; Ambrósio RR
    Eye Contact Lens; 2014 Nov; 40(6):326-30. PubMed ID: 25320954
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.