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 *

129 related articles for article (PubMed ID: 36825083)

  • 1. Retinal layer and fluid segmentation in optical coherence tomography images using a hierarchical framework.
    Melo T; Carneiro Â; Campilho A; Mendonça AM
    J Med Imaging (Bellingham); 2023 Jan; 10(1):014006. PubMed ID: 36825083
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Multi-class retinal fluid joint segmentation based on cascaded convolutional neural networks.
    Tang W; Ye Y; Chen X; Shi F; Xiang D; Chen Z; Zhu W
    Phys Med Biol; 2022 Jun; 67(12):. PubMed ID: 35613604
    [No Abstract]   [Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks.
    Roy AG; Conjeti S; Karri SPK; Sheet D; Katouzian A; Wachinger C; Navab N
    Biomed Opt Express; 2017 Aug; 8(8):3627-3642. PubMed ID: 28856040
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Robust multi-view approaches for retinal layer segmentation in glaucoma patients via transfer learning.
    Gende M; de Moura J; Fernández-Vigo JI; Martínez-de-la-Casa JM; García-Feijóo J; Novo J; Ortega M
    Quant Imaging Med Surg; 2023 May; 13(5):2846-2859. PubMed ID: 37179949
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network.
    Lu D; Heisler M; Lee S; Ding GW; Navajas E; Sarunic MV; Beg MF
    Med Image Anal; 2019 May; 54():100-110. PubMed ID: 30856455
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multiscale joint segmentation method for retinal optical coherence tomography images using a bidirectional wave algorithm and improved graph theory.
    Lou S; Chen X; Wang Y; Cai H; Chen S; Liu L
    Opt Express; 2023 Feb; 31(4):6862-6876. PubMed ID: 36823933
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Joint segmentation of retinal layers and macular edema in optical coherence tomography scans based on RLMENet.
    Wu J; Liu S; Xiao Z; Zhang F; Geng L
    Med Phys; 2022 Jul; ():. PubMed ID: 36574592
    [TBL] [Abstract][Full Text] [Related]  

  • 12. CTS-Net: A Segmentation Network for Glaucoma Optical Coherence Tomography Retinal Layer Images.
    Xue S; Wang H; Guo X; Sun M; Song K; Shao Y; Zhang H; Zhang T
    Bioengineering (Basel); 2023 Feb; 10(2):. PubMed ID: 36829724
    [TBL] [Abstract][Full Text] [Related]  

  • 13. LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images.
    Ma D; Lu D; Chen S; Heisler M; Dabiri S; Lee S; Lee H; Ding GW; Sarunic MV; Beg MF
    Comput Med Imaging Graph; 2021 Dec; 94():101988. PubMed ID: 34717264
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Automatic segmentation of multitype retinal fluid from optical coherence tomography images using semisupervised deep learning network.
    Li F; Pan W; Xiang W; Zou H
    Br J Ophthalmol; 2023 Sep; 107(9):1350-1355. PubMed ID: 35697498
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Joint Segmentation of Retinal Layers and Focal Lesions in 3-D OCT Data of Topologically Disrupted Retinas.
    Novosel J; Vermeer KA; de Jong JH; Ziyuan Wang ; van Vliet LJ
    IEEE Trans Med Imaging; 2017 Jun; 36(6):1276-1286. PubMed ID: 28186886
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Segmentation of paracentral acute middle maculopathy lesions in spectral-domain optical coherence tomography images through weakly supervised deep convolutional networks.
    Zhang T; Wei Q; Li Z; Meng W; Zhang M; Zhang Z
    Comput Methods Programs Biomed; 2023 Oct; 240():107632. PubMed ID: 37329802
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans.
    Hassan T; Akram MU; Masood MF; Yasin U
    Comput Biol Med; 2019 Feb; 105():112-124. PubMed ID: 30616039
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An unsupervised hierarchical approach for automatic intra-retinal cyst segmentation in spectral-domain optical coherence tomography images.
    Ganjee R; Ebrahimi Moghaddam M; Nourinia R
    Med Phys; 2020 Oct; 47(10):4872-4884. PubMed ID: 32609378
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.