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 *

197 related articles for article (PubMed ID: 28484225)

  • 1. Multimodality analysis of Hyper-reflective Foci and Hard Exudates in Patients with Diabetic Retinopathy.
    Niu S; Yu C; Chen Q; Yuan S; Lin J; Fan W; Liu Q
    Sci Rep; 2017 May; 7(1):1568. PubMed ID: 28484225
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Hyper-reflective foci segmentation in SD-OCT retinal images with diabetic retinopathy using deep convolutional neural networks.
    Yu C; Xie S; Niu S; Ji Z; Fan W; Yuan S; Liu Q; Chen Q
    Med Phys; 2019 Oct; 46(10):4502-4519. PubMed ID: 31315159
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Characteristics of optical coherence tomographic hyperreflective foci in retinal vein occlusion.
    Ogino K; Murakami T; Tsujikawa A; Miyamoto K; Sakamoto A; Ota M; Yoshimura N
    Retina; 2012 Jan; 32(1):77-85. PubMed ID: 21866075
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Retinal images benchmark for the detection of diabetic retinopathy and clinically significant macular edema (CSME).
    Noor-Ul-Huda M; Tehsin S; Ahmed S; Niazi FAK; Murtaza Z
    Biomed Tech (Berl); 2019 May; 64(3):297-307. PubMed ID: 30055096
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optical coherence tomographic evaluation of foveal hard exudates in patients with diabetic maculopathy accompanying macular detachment.
    Ota M; Nishijima K; Sakamoto A; Murakami T; Takayama K; Horii T; Yoshimura N
    Ophthalmology; 2010 Oct; 117(10):1996-2002. PubMed ID: 20723993
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Image analysis of fundus photographs. The detection and measurement of exudates associated with diabetic retinopathy.
    Ward NP; Tomlinson S; Taylor CJ
    Ophthalmology; 1989 Jan; 96(1):80-6. PubMed ID: 2919052
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Distribution of intraretinal exudates in diabetic macular edema during anti-vascular endothelial growth factor therapy observed by spectral domain optical coherence tomography and fundus photography.
    Pemp B; Deák G; Prager S; Mitsch C; Lammer J; Schmidinger G; Scholda C; Schmidt-Erfurth U; Bolz M;
    Retina; 2014 Dec; 34(12):2407-15. PubMed ID: 25062440
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel automatic image processing algorithm for detection of hard exudates based on retinal image analysis.
    Sánchez CI; Hornero R; López MI; Aboy M; Poza J; Abásolo D
    Med Eng Phys; 2008 Apr; 30(3):350-7. PubMed ID: 17556004
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Detection and analysis of hard exudates by polarization-sensitive optical coherence tomography in patients with diabetic maculopathy.
    Lammer J; Bolz M; Baumann B; Pircher M; Gerendas B; Schlanitz F; Hitzenberger CK; Schmidt-Erfurth U
    Invest Ophthalmol Vis Sci; 2014 Mar; 55(3):1564-71. PubMed ID: 24526446
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of Hard Exudates Using Evolutionary Feature Selection in Retinal Fundus Images.
    Kadan AB; Subbian PS
    J Med Syst; 2019 May; 43(7):209. PubMed ID: 31144041
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection of Hard Exudates in Colour Fundus Images Using Fuzzy Support Vector Machine-Based Expert System.
    Jaya T; Dheeba J; Singh NA
    J Digit Imaging; 2015 Dec; 28(6):761-8. PubMed ID: 25822397
    [TBL] [Abstract][Full Text] [Related]  

  • 12. OCT Hyperreflective Retinal Foci in Diabetic Retinopathy: A Semi-Automatic Detection Comparative Study.
    Midena E; Torresin T; Velotta E; Pilotto E; Parrozzani R; Frizziero L
    Front Immunol; 2021; 12():613051. PubMed ID: 33968016
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic exudate and aneurysm segmentation in OCT images using UNET++ and hyperreflective-foci feature based bagged tree ensemble.
    Tanthanathewin R; Wongrattanapipat W; Khaing TT; Aimmanee P
    PLoS One; 2024; 19(5):e0304146. PubMed ID: 38787844
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A review on exudates detection methods for diabetic retinopathy.
    Joshi S; Karule PT
    Biomed Pharmacother; 2018 Jan; 97():1454-1460. PubMed ID: 29156536
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Referral system for hard exudates in eye fundus.
    Naqvi SA; Zafar MF; Haq Iu
    Comput Biol Med; 2015 Sep; 64():217-35. PubMed ID: 26231313
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Short-Term Progression of Diabetic Hard Exudates Monitored with High-Resolution Camera.
    Loganadane P; Delbosc B; Saleh M
    Ophthalmic Res; 2019; 61(1):3-9. PubMed ID: 30466082
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The correlation between optical coherence tomographic features and severity of retinopathy, macular thickness and visual acuity in diabetic macular edema.
    Alkuraya H; Kangave D; Abu El-Asrar AM
    Int Ophthalmol; 2005 Jun; 26(3):93-9. PubMed ID: 17063373
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic non-proliferative diabetic retinopathy screening system based on color fundus image.
    Xiao Z; Zhang X; Geng L; Zhang F; Wu J; Tong J; Ogunbona PO; Shan C
    Biomed Eng Online; 2017 Oct; 16(1):122. PubMed ID: 29073912
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Linking Retinal Microvasculature Features With Severity of Diabetic Retinopathy Using Optical Coherence Tomography Angiography.
    Bhanushali D; Anegondi N; Gadde SG; Srinivasan P; Chidambara L; Yadav NK; Sinha Roy A
    Invest Ophthalmol Vis Sci; 2016 Jul; 57(9):OCT519-25. PubMed ID: 27472275
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diagnosis of diabetic retinopathy: automatic extraction of optic disc and exudates from retinal images using marker-controlled watershed transformation.
    Reza AW; Eswaran C; Dimyati K
    J Med Syst; 2011 Dec; 35(6):1491-501. PubMed ID: 20703768
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.