BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

264 related articles for article (PubMed ID: 35781941)

  • 1. Retinal layer segmentation in optical coherence tomography (OCT) using a 3D deep-convolutional regression network for patients with age-related macular degeneration.
    Mukherjee S; De Silva T; Grisso P; Wiley H; Tiarnan DLK; Thavikulwat AT; Chew E; Cukras C
    Biomed Opt Express; 2022 Jun; 13(6):3195-3210. PubMed ID: 35781941
    [No Abstract]   [Full Text] [Related]  

  • 2. Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations.
    Liu H; Wei D; Lu D; Tang X; Wang L; Zheng Y
    Med Image Anal; 2024 Jan; 91():103019. PubMed ID: 37944431
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automatic segmentation of OCT retinal boundaries using recurrent neural networks and graph search.
    Kugelman J; Alonso-Caneiro D; Read SA; Vincent SJ; Collins MJ
    Biomed Opt Express; 2018 Nov; 9(11):5759-5777. PubMed ID: 30460160
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Segmentation of retinal fluid based on deep learning: application of three-dimensional fully convolutional neural networks in optical coherence tomography images.
    Li MX; Yu SQ; Zhang W; Zhou H; Xu X; Qian TW; Wan YJ
    Int J Ophthalmol; 2019; 12(6):1012-1020. PubMed ID: 31236362
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep ensemble learning for automated non-advanced AMD classification using optimized retinal layer segmentation and SD-OCT scans.
    Moradi M; Chen Y; Du X; Seddon JM
    Comput Biol Med; 2023 Mar; 154():106512. PubMed ID: 36701964
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images.
    Gao K; Niu S; Ji Z; Wu M; Chen Q; Xu R; Yuan S; Fan W; Chen Y; Dong J
    Comput Methods Programs Biomed; 2019 Jul; 176():69-80. PubMed ID: 31200913
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Volumetric quantification of choroid and Haller's sublayer using OCT scans: An accurate and unified approach based on stratified smoothing.
    Ibrahim MN; Bashar SB; Rasheed MA; Selvam A; Sant V; Sahel JA; Chhablani J; Vupparaboina KK; Jana S
    Comput Med Imaging Graph; 2022 Jul; 99():102086. PubMed ID: 35717830
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT images.
    Shah A; Zhou L; Abrámoff MD; Wu X
    Biomed Opt Express; 2018 Sep; 9(9):4509-4526. PubMed ID: 30615698
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic Segmentation in Multiple OCT Layers For Stargardt Disease Characterization Via Deep Learning.
    Mishra Z; Wang Z; Sadda SR; Hu Z
    Transl Vis Sci Technol; 2021 Apr; 10(4):24. PubMed ID: 34004000
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans.
    Alsaih K; Yusoff MZ; Tang TB; Faye I; Mériaudeau F
    Comput Methods Programs Biomed; 2020 Oct; 195():105566. PubMed ID: 32504911
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated intraretinal segmentation of SD-OCT images in normal and age-related macular degeneration eyes.
    de Sisternes L; Jonna G; Moss J; Marmor MF; Leng T; Rubin DL
    Biomed Opt Express; 2017 Mar; 8(3):1926-1949. PubMed ID: 28663874
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images.
    Ji Z; Chen Q; Niu S; Leng T; Rubin DL
    Transl Vis Sci Technol; 2018 Jan; 7(1):1. PubMed ID: 29302382
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Deep Learning.
    Kugelman J; Alonso-Caneiro D; Chen Y; Arunachalam S; Huang D; Vallis N; Collins MJ; Chen FK
    Transl Vis Sci Technol; 2020 Oct; 9(11):12. PubMed ID: 33133774
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography.
    Derradji Y; Mosinska A; Apostolopoulos S; Ciller C; De Zanet S; Mantel I
    Sci Rep; 2021 Nov; 11(1):21893. PubMed ID: 34751189
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. A Hybrid Model Composed of Two Convolutional Neural Networks (CNNs) for Automatic Retinal Layer Segmentation of OCT Images in Retinitis Pigmentosa (RP).
    Wang YZ; Wu W; Birch DG
    Transl Vis Sci Technol; 2021 Nov; 10(13):9. PubMed ID: 34751740
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel 3D segmentation approach for extracting retinal layers from optical coherence tomography images.
    Sleman AA; Soliman A; Elsharkawy M; Giridharan G; Ghazal M; Sandhu H; Schaal S; Keynton R; Elmaghraby A; El-Baz A
    Med Phys; 2021 Apr; 48(4):1584-1595. PubMed ID: 33450073
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography.
    Perdomo O; Rios H; Rodríguez FJ; Otálora S; Meriaudeau F; Müller H; González FA
    Comput Methods Programs Biomed; 2019 Sep; 178():181-189. PubMed ID: 31416547
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic diagnosis of macular diseases from OCT volume based on its two-dimensional feature map and convolutional neural network with attention mechanism.
    Sun Y; Zhang H; Yao X
    J Biomed Opt; 2020 Sep; 25(9):. PubMed ID: 32940026
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.