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 *

221 related articles for article (PubMed ID: 30018755)

  • 1. Comparison of Machine-Learning Classification Models for Glaucoma Management.
    An G; Omodaka K; Tsuda S; Shiga Y; Takada N; Kikawa T; Nakazawa T; Yokota H; Akiba M
    J Healthc Eng; 2018; 2018():6874765. PubMed ID: 30018755
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classification of optic disc shape in glaucoma using machine learning based on quantified ocular parameters.
    Omodaka K; An G; Tsuda S; Shiga Y; Takada N; Kikawa T; Takahashi H; Yokota H; Akiba M; Nakazawa T
    PLoS One; 2017; 12(12):e0190012. PubMed ID: 29261773
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optic nerve head segmentation using fundus images and optical coherence tomography images for glaucoma detection.
    Ganesh Babu TR; Shenbaga Devi S; Venkatesh R
    Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub; 2015 Dec; 159(4):607-15. PubMed ID: 26498216
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning models based on the dimensionality reduction of standard automated perimetry data for glaucoma diagnosis.
    Lee SD; Lee JH; Choi YG; You HC; Kang JH; Jun CH
    Artif Intell Med; 2019 Mar; 94():110-116. PubMed ID: 30871677
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Significance of optic disc topography and retinal nerve fiber layer thickness measurement by spectral-domain OCT in diagnosis of glaucoma].
    Wang XZ; Li SN; Wu GW; Mu DP; Wang NL
    Zhonghua Yan Ke Za Zhi; 2010 Aug; 46(8):702-8. PubMed ID: 21054994
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head.
    Devalla SK; Chin KS; Mari JM; Tun TA; Strouthidis NG; Aung T; Thiéry AH; Girard MJA
    Invest Ophthalmol Vis Sci; 2018 Jan; 59(1):63-74. PubMed ID: 29313052
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.
    Alabi RO; Elmusrati M; Sawazaki-Calone I; Kowalski LP; Haglund C; Coletta RD; Mäkitie AA; Salo T; Almangush A; Leivo I
    Int J Med Inform; 2020 Apr; 136():104068. PubMed ID: 31923822
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine learning in diagnosis and disability prediction of multiple sclerosis using optical coherence tomography.
    Montolío A; Martín-Gallego A; Cegoñino J; Orduna E; Vilades E; Garcia-Martin E; Palomar APD
    Comput Biol Med; 2021 Jun; 133():104416. PubMed ID: 33946022
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Glaucoma diagnostics.
    Geimer SA
    Acta Ophthalmol; 2013 Feb; 91 Thesis 1():1-32. PubMed ID: 23384049
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Glaucoma Assessment from OCT images using Capsule Network.
    Gaddipati DJ; Desai A; Sivaswamy J; Vermeer KA
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():5581-5584. PubMed ID: 31947120
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Energetic Glaucoma Segmentation and Classification Strategies Using Depth Optimized Machine Learning Strategies.
    Elizabeth Jesi V; Mohamed Aslam S; Ramkumar G; Sabarivani A; Gnanasekar AK; Thomas P
    Contrast Media Mol Imaging; 2021; 2021():5709257. PubMed ID: 34908911
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.
    Abdel-Fattah MA; Othman NA; Goher N
    Comput Intell Neurosci; 2022; 2022():9898831. PubMed ID: 35251161
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification.
    Shrivastava VK; Londhe ND; Sonawane RS; Suri JS
    Comput Methods Programs Biomed; 2017 Oct; 150():9-22. PubMed ID: 28859832
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Data Mining Framework for Glaucoma Decision Support Based on Optic Nerve Image Analysis Using Machine Learning Methods.
    Abidi SSR; Roy PC; Shah MS; Yu J; Yan S
    J Healthc Inform Res; 2018 Dec; 2(4):370-401. PubMed ID: 35415417
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted From Fundus Images.
    Maheshwari S; Pachori RB; Acharya UR
    IEEE J Biomed Health Inform; 2017 May; 21(3):803-813. PubMed ID: 28113877
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Differentiation of glaucomatous optic discs with different appearances using optic disc topography parameters: The Glaucoma Stereo Analysis Study.
    Tanito M; Nitta K; Katai M; Kitaoka Y; Yokoyama Y; Omodaka K; Nakazawa T
    PLoS One; 2017; 12(2):e0169858. PubMed ID: 28178303
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated glaucoma screening method based on image segmentation and feature extraction.
    Guo F; Li W; Tang J; Zou B; Fan Z
    Med Biol Eng Comput; 2020 Oct; 58(10):2567-2586. PubMed ID: 32820355
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of retinal nerve fiber layer thickness and optic disk algorithms with optical coherence tomography to detect glaucoma.
    Manassakorn A; Nouri-Mahdavi K; Caprioli J
    Am J Ophthalmol; 2006 Jan; 141(1):105-115. PubMed ID: 16386983
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An adaptive threshold based image processing technique for improved glaucoma detection and classification.
    Issac A; Partha Sarathi M; Dutta MK
    Comput Methods Programs Biomed; 2015 Nov; 122(2):229-44. PubMed ID: 26321351
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Learning from healthy and stable eyes: A new approach for detection of glaucomatous progression.
    Belghith A; Bowd C; Medeiros FA; Balasubramanian M; Weinreb RN; Zangwill LM
    Artif Intell Med; 2015 Jun; 64(2):105-15. PubMed ID: 25940856
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.