BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

650 related articles for article (PubMed ID: 28035657)

  • 1. A computer-aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images.
    ElTanboly A; Ismail M; Shalaby A; Switala A; El-Baz A; Schaal S; Gimel'farb G; El-Azab M
    Med Phys; 2017 Mar; 44(3):914-923. PubMed ID: 28035657
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images.
    Sharafeldeen A; Elsharkawy M; Khalifa F; Soliman A; Ghazal M; AlHalabi M; Yaghi M; Alrahmawy M; Elmougy S; Sandhu HS; El-Baz A
    Sci Rep; 2021 Feb; 11(1):4730. PubMed ID: 33633139
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Early diabetic retinopathy diagnosis based on local retinal blood vessel analysis in optical coherence tomography angiography (OCTA) images.
    Eladawi N; Elmogy M; Khalifa F; Ghazal M; Ghazi N; Aboelfetouh A; Riad A; Sandhu H; Schaal S; El-Baz A
    Med Phys; 2018 Oct; 45(10):4582-4599. PubMed ID: 30144102
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Novel Computer-Aided Diagnostic System for Early Detection of Diabetic Retinopathy Using 3D-OCT Higher-Order Spatial Appearance Model.
    Elsharkawy M; Sharafeldeen A; Soliman A; Khalifa F; Ghazal M; El-Daydamony E; Atwan A; Sandhu HS; El-Baz A
    Diagnostics (Basel); 2022 Feb; 12(2):. PubMed ID: 35204552
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random field.
    Chakravarty A; Sivaswamy J
    Comput Methods Programs Biomed; 2018 Oct; 165():235-250. PubMed ID: 30337078
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detection of Diabetic Retinopathy Using Extracted 3D Features from OCT Images.
    Elgafi M; Sharafeldeen A; Elnakib A; Elgarayhi A; Alghamdi NS; Sallah M; El-Baz A
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298186
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated Diagnosis and Grading of Diabetic Retinopathy Using Optical Coherence Tomography.
    Sandhu HS; Eltanboly A; Shalaby A; Keynton RS; Schaal S; El-Baz A
    Invest Ophthalmol Vis Sci; 2018 Jun; 59(7):3155-3160. PubMed ID: 30029278
    [TBL] [Abstract][Full Text] [Related]  

  • 8. OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications.
    Prahs P; Radeck V; Mayer C; Cvetkov Y; Cvetkova N; Helbig H; Märker D
    Graefes Arch Clin Exp Ophthalmol; 2018 Jan; 256(1):91-98. PubMed ID: 29127485
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated Diagnosis of Optical Coherence Tomography Angiography (OCTA) Based on Machine Learning Techniques.
    Yasser I; Khalifa F; Abdeltawab H; Ghazal M; Sandhu HS; El-Baz A
    Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336513
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fully automated detection of retinal disorders by image-based deep learning.
    Li F; Chen H; Liu Z; Zhang X; Wu Z
    Graefes Arch Clin Exp Ophthalmol; 2019 Mar; 257(3):495-505. PubMed ID: 30610422
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ratiometric analysis of optical coherence tomography-measured in vivo retinal layer thicknesses for the detection of early diabetic retinopathy.
    Bhaduri B; Shelton RL; Nolan RM; Hendren L; Almasov A; Labriola LT; Boppart SA
    J Biophotonics; 2017 Nov; 10(11):1430-1441. PubMed ID: 28635102
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated diabetic retinopathy detection using optical coherence tomography angiography: a pilot study.
    Sandhu HS; Eladawi N; Elmogy M; Keynton R; Helmy O; Schaal S; El-Baz A
    Br J Ophthalmol; 2018 Nov; 102(11):1564-1569. PubMed ID: 29363532
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic detection of microaneurysms in optical coherence tomography images of retina using convolutional neural networks and transfer learning.
    Almasi R; Vafaei A; Kazeminasab E; Rabbani H
    Sci Rep; 2022 Aug; 12(1):13975. PubMed ID: 35978087
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Diagnostic Accuracy of Digital Retinal Fundus Image Analysis in Detecting Diabetic Maculopathy in Type 2 Diabetes Mellitus.
    D'Aloisio R; Giglio R; Di Nicola M; De Giacinto C; Pastore MR; Tognetto D; Peto T
    Ophthalmic Res; 2019; 61(2):100-106. PubMed ID: 30554213
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Machine Learning Ensemble Classifier for Early Prediction of Diabetic Retinopathy.
    S K S; P A
    J Med Syst; 2017 Nov; 41(12):201. PubMed ID: 29124453
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic blood vessels segmentation based on different retinal maps from OCTA scans.
    Eladawi N; Elmogy M; Helmy O; Aboelfetouh A; Riad A; Sandhu H; Schaal S; El-Baz A
    Comput Biol Med; 2017 Oct; 89():150-161. PubMed ID: 28806613
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated Deformation-Based Analysis of 3D Optical Coherence Tomography in Diabetic Retinopathy.
    Khansari MM; Zhang J; Qiao Y; Gahm JK; Sarabi MS; Kashani AH; Shi Y
    IEEE Trans Med Imaging; 2020 Jan; 39(1):236-245. PubMed ID: 31247547
    [TBL] [Abstract][Full Text] [Related]  

  • 18. OctNET: A Lightweight CNN for Retinal Disease Classification from Optical Coherence Tomography Images.
    A P S; Kar S; S G; Gopi VP; Palanisamy P
    Comput Methods Programs Biomed; 2021 Mar; 200():105877. PubMed ID: 33339630
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Automatic detection of retinal regions using fully convolutional networks for diagnosis of abnormal maculae in optical coherence tomography images.
    Sun Z; Sun Y
    J Biomed Opt; 2019 May; 24(5):1-9. PubMed ID: 31111697
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 33.