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 *

160 related articles for article (PubMed ID: 31452990)

  • 61. Serous Retinal Detachment Causes a Transient Reduction on Spectral Domain OCT Estimates of Ganglion Cell Layer Thickness.
    Nam KY; Kim JY
    Optom Vis Sci; 2019 Mar; 96(3):156-163. PubMed ID: 30741788
    [TBL] [Abstract][Full Text] [Related]  

  • 62. Capsule Network-based architectures for the segmentation of sub-retinal serous fluid in optical coherence tomography images of central serous chorioretinopathy.
    Pawan SJ; Sankar R; Jain A; Jain M; Darshan DV; Anoop BN; Kothari AR; Venkatesan M; Rajan J
    Med Biol Eng Comput; 2021 Jun; 59(6):1245-1259. PubMed ID: 33988817
    [TBL] [Abstract][Full Text] [Related]  

  • 63. Robust and accurate corneal interfaces segmentation in 2D and 3D OCT images.
    Zhu X; Huang W; Ma S; Yi Q
    Front Med (Lausanne); 2024; 11():1381758. PubMed ID: 38562374
    [TBL] [Abstract][Full Text] [Related]  

  • 64. Automated segmentation of the choroid in EDI-OCT images with retinal pathology using convolution neural networks.
    Chen M; Wang J; Oguz I; VanderBeek BL; Gee JC
    Fetal Infant Ophthalmic Med Image Anal (2017); 2017 Sep; 10554():177-184. PubMed ID: 29757338
    [TBL] [Abstract][Full Text] [Related]  

  • 65. Boundary-Repairing Dual-Path Network for Retinal Layer Segmentation in OCT Image with Pigment Epithelial Detachment.
    Liu X; Li X; Zhang Y; Wang M; Yao J; Tang J
    J Imaging Inform Med; 2024 May; ():. PubMed ID: 38740662
    [TBL] [Abstract][Full Text] [Related]  

  • 66. Multi-layer Fast Level Set Segmentation for Macular OCT.
    Liu Y; Carass A; Solomon SD; Saidha S; Calabresi PA; Prince JL
    Proc IEEE Int Symp Biomed Imaging; 2018 Apr; 2018():1445-1448. PubMed ID: 31853331
    [TBL] [Abstract][Full Text] [Related]  

  • 67. Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images.
    Wang B; Wei W; Qiu S; Wang S; Li D; He H
    IEEE J Biomed Health Inform; 2021 Aug; 25(8):3029-3040. PubMed ID: 33729959
    [TBL] [Abstract][Full Text] [Related]  

  • 68. 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]  

  • 69. 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]  

  • 70. Diagnostic value of 3D Optical Coherence Tomography Multimode Images in the Diagnosis of Acute Central Serous Chorioretinopathy.
    Zhao GL; Li RZ; Pang YH; Wang XQ; Wei JF; Zhou Z
    Curr Med Imaging; 2023 Aug; ():. PubMed ID: 37537936
    [TBL] [Abstract][Full Text] [Related]  

  • 71. Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation.
    Rabbani H; Kafieh R; Kazemian Jahromi M; Jorjandi S; Mehri Dehnavi A; Hajizadeh F; Peyman A
    Int J Biomed Imaging; 2016; 2016():1420230. PubMed ID: 27247559
    [TBL] [Abstract][Full Text] [Related]  

  • 72. Segmentation of liver tumors with abdominal computed tomography using fully convolutional networks.
    Chen CI; Lu NH; Huang YH; Liu KY; Hsu SY; Matsushima A; Wang YM; Chen TB
    J Xray Sci Technol; 2022; 30(5):953-966. PubMed ID: 35754254
    [TBL] [Abstract][Full Text] [Related]  

  • 73. 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]  

  • 74. Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema.
    Chiu SJ; Allingham MJ; Mettu PS; Cousins SW; Izatt JA; Farsiu S
    Biomed Opt Express; 2015 Apr; 6(4):1172-94. PubMed ID: 25909003
    [TBL] [Abstract][Full Text] [Related]  

  • 75. 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]  

  • 76. Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans.
    Thompson AC; Jammal AA; Berchuck SI; Mariottoni EB; Medeiros FA
    JAMA Ophthalmol; 2020 Apr; 138(4):333-339. PubMed ID: 32053142
    [TBL] [Abstract][Full Text] [Related]  

  • 77. Alignment artifacts in optical coherence tomography analyzed images.
    Leung CK; Chan WM; Chong KK; Chan KC; Yung WH; Tsang MK; Tse RK; Lam DS
    Ophthalmology; 2007 Feb; 114(2):263-70. PubMed ID: 17123619
    [TBL] [Abstract][Full Text] [Related]  

  • 78. Automated layer segmentation of optical coherence tomography images.
    Lu S; Cheung CY; Liu J; Lim JH; Leung CK; Wong TY
    IEEE Trans Biomed Eng; 2010 Oct; 57(10):2605-8. PubMed ID: 20595078
    [TBL] [Abstract][Full Text] [Related]  

  • 79. Segmentation of the geographic atrophy in spectral-domain optical coherence tomography and fundus autofluorescence images.
    Hu Z; Medioni GG; Hernandez M; Hariri A; Wu X; Sadda SR
    Invest Ophthalmol Vis Sci; 2013 Dec; 54(13):8375-83. PubMed ID: 24265015
    [TBL] [Abstract][Full Text] [Related]  

  • 80. Automatic Anisotropic Diffusion Filtering and Graph-search Segmentation of Macular Spectral-domain Optical Coherence Tomographic (SD-OCT) Images.
    Usha A; Shajil N; Sasikala M
    Curr Med Imaging Rev; 2019; 15(3):308-318. PubMed ID: 31989882
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.