BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

42 related articles for article (PubMed ID: 29156536)

  • 1. Effective Fundus Image Decomposition for the Detection of Red Lesions and Hard Exudates to Aid in the Diagnosis of Diabetic Retinopathy.
    Romero-Oraá R; García M; Oraá-Pérez J; López-Gálvez MI; Hornero R
    Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33207825
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiscale AM-FM methods for diabetic retinopathy lesion detection.
    Agurto C; Murray V; Barriga E; Murillo S; Pattichis M; Davis H; Russell S; Abramoff M; Soliz P
    IEEE Trans Med Imaging; 2010 Feb; 29(2):502-12. PubMed ID: 20129850
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A multiscale optimization approach to detect exudates in the macula.
    Agurto C; Murray V; Yu H; Wigdahl J; Pattichis M; Nemeth S; Barriga ES; Soliz P
    IEEE J Biomed Health Inform; 2014 Jul; 18(4):1328-36. PubMed ID: 25014937
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Limitations of Assessing Barriers in Diabetic Retinopathy Screening-Reply.
    Wang SY; Ludwig CA; Ravindranath R
    JAMA Ophthalmol; 2024 May; 142(5):491-492. PubMed ID: 38512268
    [No Abstract]   [Full Text] [Related]  

  • 5. Temporal changes in retinal vascular parameters associated with successful panretinal photocoagulation in proliferative diabetic retinopathy: A prospective clinical interventional study.
    Torp TL; Kawasaki R; Wong TY; Peto T; Grauslund J
    Acta Ophthalmol; 2018 Jun; 96(4):405-410. PubMed ID: 29193789
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prevalence and Progression Rate of Diabetic Retinopathy in Type 2 Diabetes Patients in Correlation with the Duration of Diabetes.
    Voigt M; Schmidt S; Lehmann T; Köhler B; Kloos C; Voigt UA; Meller D; Wolf G; Müller UA; Müller N
    Exp Clin Endocrinol Diabetes; 2018 Sep; 126(9):570-576. PubMed ID: 29183104
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Study on clinical indicators of diabetic retinopathy.
    Jiao X; Li G; Yin X
    Minerva Endocrinol; 2018 Sep; 43(3):386-387. PubMed ID: 29160050
    [No Abstract]   [Full Text] [Related]  

  • 8. Research progress on ocular complications caused by type 2 diabetes mellitus and the function of tears and blepharons.
    Wang X; Fang J; Yang L
    Open Life Sci; 2024; 19(1):20220773. PubMed ID: 38299009
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions.
    Nadeem MW; Goh HG; Hussain M; Liew SY; Andonovic I; Khan MA
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146130
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Untangling Computer-Aided Diagnostic System for Screening Diabetic Retinopathy Based on Deep Learning Techniques.
    Farooq MS; Arooj A; Alroobaea R; Baqasah AM; Jabarulla MY; Singh D; Sardar R
    Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35270949
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection of Optic Disc Localization from Retinal Fundus Image Using Optimized Color Space.
    Toptaş B; Toptaş M; Hanbay D
    J Digit Imaging; 2022 Apr; 35(2):302-319. PubMed ID: 35018540
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Regional classification-guided wavelet Y-Net network for hard exudate segmentation in fundus images].
    Zhang L; Fang Z; Tang Y; Yang F
    Nan Fang Yi Ke Da Xue Xue Bao; 2021 Aug; 41(8):1250-1259. PubMed ID: 34549718
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Novel Approach for Detection of Hard Exudates Using Random Forest Classifier.
    Pratheeba C; Singh NN
    J Med Syst; 2019 May; 43(7):180. PubMed ID: 31093787
    [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. Automated detection of exudates for diabetic retinopathy screening.
    Fleming AD; Philip S; Goatman KA; Williams GJ; Olson JA; Sharp PF
    Phys Med Biol; 2007 Dec; 52(24):7385-96. PubMed ID: 18065845
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Decision support system for the detection and grading of hard exudates from color fundus photographs.
    Jaafar HF; Nandi AK; Al-Nuaimy W
    J Biomed Opt; 2011 Nov; 16(11):116001. PubMed ID: 22112106
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The role of haemorrhage and exudate detection in automated grading of diabetic retinopathy.
    Fleming AD; Goatman KA; Philip S; Williams GJ; Prescott GJ; Scotland GS; McNamee P; Leese GP; Wykes WN; Sharp PF; Olson JA;
    Br J Ophthalmol; 2010 Jun; 94(6):706-11. PubMed ID: 19661069
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Survey on recent developments in automatic detection of diabetic retinopathy.
    Bilal A; Sun G; Mazhar S
    J Fr Ophtalmol; 2021 Mar; 44(3):420-440. PubMed ID: 33526268
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Progress towards automated diabetic ocular screening: a review of image analysis and intelligent systems for diabetic retinopathy.
    Teng T; Lefley M; Claremont D
    Med Biol Eng Comput; 2002 Jan; 40(1):2-13. PubMed ID: 11954703
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 3.