BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

230 related articles for article (PubMed ID: 24409381)

  • 1. Automatic segmentation of choroidal thickness in optical coherence tomography.
    Alonso-Caneiro D; Read SA; Collins MJ
    Biomed Opt Express; 2013; 4(12):2795-812. PubMed ID: 24409381
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic Choroidal Segmentation in Optical Coherence Tomography Images Based on Curvelet Transform and Graph Theory.
    Eghtedar RA; Esmaeili M; Peyman A; Akhlaghi M; Rasta SH
    J Med Signals Sens; 2023; 13(2):92-100. PubMed ID: 37448544
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An automated method for choroidal thickness measurement from Enhanced Depth Imaging Optical Coherence Tomography images.
    Hussain MA; Bhuiyan A; Ishikawa H; Theodore Smith R; Schuman JS; Kotagiri R
    Comput Med Imaging Graph; 2018 Jan; 63():41-51. PubMed ID: 29366655
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Choroidal vasculature characteristics based choroid segmentation for enhanced depth imaging optical coherence tomography images.
    Chen Q; Niu S; Yuan S; Fan W; Liu Q
    Med Phys; 2016 Apr; 43(4):1649. PubMed ID: 27036564
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Validation of Macular Choroidal Thickness Measurements from Automated SD-OCT Image Segmentation.
    Twa MD; Schulle KL; Chiu SJ; Farsiu S; Berntsen DA
    Optom Vis Sci; 2016 Nov; 93(11):1387-1398. PubMed ID: 27668634
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic choroidal segmentation in OCT images using supervised deep learning methods.
    Kugelman J; Alonso-Caneiro D; Read SA; Hamwood J; Vincent SJ; Chen FK; Collins MJ
    Sci Rep; 2019 Sep; 9(1):13298. PubMed ID: 31527630
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated estimation of choroidal thickness distribution and volume based on OCT images of posterior visual section.
    Vupparaboina KK; Nizampatnam S; Chhablani J; Richhariya A; Jana S
    Comput Med Imaging Graph; 2015 Dec; 46 Pt 3():315-27. PubMed ID: 26526231
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Choroidal thickness maps from spectral domain and swept source optical coherence tomography: algorithmic versus ground truth annotation.
    Philip AM; Gerendas BS; Zhang L; Faatz H; Podkowinski D; Bogunovic H; Abramoff MD; Hagmann M; Leitner R; Simader C; Sonka M; Waldstein SM; Schmidt-Erfurth U
    Br J Ophthalmol; 2016 Oct; 100(10):1372-6. PubMed ID: 26769670
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated choroid segmentation of three-dimensional SD-OCT images by incorporating EDI-OCT images.
    Chen Q; Niu S; Fang W; Shuai Y; Fan W; Yuan S; Liu Q
    Comput Methods Programs Biomed; 2018 May; 158():161-171. PubMed ID: 29544782
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic segmentation of the choroid in enhanced depth imaging optical coherence tomography images.
    Tian J; Marziliano P; Baskaran M; Tun TA; Aung T
    Biomed Opt Express; 2013 Mar; 4(3):397-411. PubMed ID: 23504041
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Choroidal thickness and volume mapping by a six radial scan protocol on spectral-domain optical coherence tomography.
    Shin JW; Shin YU; Lee BR
    Ophthalmology; 2012 May; 119(5):1017-23. PubMed ID: 22281089
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Direct Estimation of Choroidal Thickness in Optical Coherence Tomography Images with Convolutional Neural Networks.
    Rong Y; Jiang Z; Wu W; Chen Q; Wei C; Fan Z; Chen H
    J Clin Med; 2022 Jun; 11(11):. PubMed ID: 35683590
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Attenuation correction assisted automatic segmentation for assessing choroidal thickness and vasculature with swept-source OCT.
    Zhou H; Chu Z; Zhang Q; Dai Y; Gregori G; Rosenfeld PJ; Wang RK
    Biomed Opt Express; 2018 Dec; 9(12):6067-6080. PubMed ID: 31065413
    [TBL] [Abstract][Full Text] [Related]  

  • 14. OCT Retinal and Choroidal Layer Instance Segmentation Using Mask R-CNN.
    Viedma IA; Alonso-Caneiro D; Read SA; Collins MJ
    Sensors (Basel); 2022 Mar; 22(5):. PubMed ID: 35271165
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An Automatic Algorithm for Segmentation of the Boundaries of Corneal Layers in Optical Coherence Tomography Images using Gaussian Mixture Model.
    Jahromi MK; Kafieh R; Rabbani H; Dehnavi AM; Peyman A; Hajizadeh F; Ommani M
    J Med Signals Sens; 2014 Jul; 4(3):171-80. PubMed ID: 25298926
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of Choroidal Thickness Measurements Using Semiautomated and Manual Segmentation Methods.
    Zhao M; Alonso-Caneiro D; Lee R; Cheong AMY; Yu WY; Wong HY; Lam AKC
    Optom Vis Sci; 2020 Feb; 97(2):121-127. PubMed ID: 32011585
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pathological-Corneas Layer Segmentation and Thickness Measurement in OCT Images.
    Elsawy A; Gregori G; Eleiwa T; Abdel-Mottaleb M; Shousha MA
    Transl Vis Sci Technol; 2020 Oct; 9(11):24. PubMed ID: 33173606
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An Update on Choroidal Layer Segmentation Methods in Optical Coherence Tomography Images: a Review.
    Alizadeh Eghtedar R; Esmaeili M; Peyman A; Akhlaghi M; Rasta SH
    J Biomed Phys Eng; 2022 Feb; 12(1):1-20. PubMed ID: 35155288
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT.
    Zhang L; Buitendijk GH; Lee K; Sonka M; Springelkamp H; Hofman A; Vingerling JR; Mullins RF; Klaver CC; Abràmoff MD
    Invest Ophthalmol Vis Sci; 2015 May; 56(5):3202-11. PubMed ID: 26024104
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Choroid Segmentation of Retinal OCT Images Based on CNN Classifier and
    He F; Chun RKM; Qiu Z; Yu S; Shi Y; To CH; Chen X
    Comput Math Methods Med; 2021; 2021():8882801. PubMed ID: 33510811
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.