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 *

196 related articles for article (PubMed ID: 28270969)

  • 1. Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration.
    Karri SP; Chakraborty D; Chatterjee J
    Biomed Opt Express; 2017 Feb; 8(2):579-592. PubMed ID: 28270969
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classification of age-related macular degeneration using convolutional-neural-network-based transfer learning.
    Chen YM; Huang WT; Ho WH; Tsai JT
    BMC Bioinformatics; 2021 Nov; 22(Suppl 5):99. PubMed ID: 34749641
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Automatic diagnosis of abnormal macula in retinal optical coherence tomography images using wavelet-based convolutional neural network features and random forests classifier.
    Rasti R; Mehridehnavi A; Rabbani H; Hajizadeh F
    J Biomed Opt; 2018 Mar; 23(3):1-10. PubMed ID: 29564864
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Optical Coherence Tomography-Based Deep-Learning Models for Classifying Normal and Age-Related Macular Degeneration and Exudative and Non-Exudative Age-Related Macular Degeneration Changes.
    Motozawa N; An G; Takagi S; Kitahata S; Mandai M; Hirami Y; Yokota H; Akiba M; Tsujikawa A; Takahashi M; Kurimoto Y
    Ophthalmol Ther; 2019 Dec; 8(4):527-539. PubMed ID: 31407214
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images.
    Srinivasan PP; Kim LA; Mettu PS; Cousins SW; Comer GM; Izatt JA; Farsiu S
    Biomed Opt Express; 2014 Oct; 5(10):3568-77. PubMed ID: 25360373
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Macular OCT Classification Using a Multi-Scale Convolutional Neural Network Ensemble.
    Rasti R; Rabbani H; Mehridehnavi A; Hajizadeh F
    IEEE Trans Med Imaging; 2018 Apr; 37(4):1024-1034. PubMed ID: 29610079
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning architecture "LightOCT" for diagnostic decision support using optical coherence tomography images of biological samples.
    Butola A; Prasad DK; Ahmad A; Dubey V; Qaiser D; Srivastava A; Senthilkumaran P; Ahluwalia BS; Mehta DS
    Biomed Opt Express; 2020 Sep; 11(9):5017-5031. PubMed ID: 33014597
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predictive, preventive, and personalized management of retinal fluid via computer-aided detection app for optical coherence tomography scans.
    Quek TC; Takahashi K; Kang HG; Thakur S; Deshmukh M; Tseng RMWW; Nguyen H; Tham YC; Rim TH; Kim SS; Yanagi Y; Liew G; Cheng CY
    EPMA J; 2022 Dec; 13(4):547-560. PubMed ID: 36505893
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic Classification of Macular Diseases from OCT Images Using CNN Guided with Edge Convolutional Layer.
    Esfahani EN; Daneshmand PG; Rabbani H; Plonka G
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3858-3861. PubMed ID: 36085830
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of the proposed DCNN model with standard CNN architectures for retinal diseases classification.
    Mohan R; Ganapathy K; Arunmozhi R
    J Popul Ther Clin Pharmacol; 2022; 29(3):e112-e122. PubMed ID: 36196946
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Non-transfer Deep Learning of Optical Coherence Tomography for Post-hoc Explanation of Macular Disease Classification.
    Arefin R; Samad MD; Akyelken FA; Davanian A
    Proc (IEEE Int Conf Healthc Inform); 2021 Aug; 2021():48-52. PubMed ID: 36168324
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. A novel multiscale and multipath convolutional neural network based age-related macular degeneration detection using OCT images.
    Thomas A; Harikrishnan PM; Ramachandran R; Ramachandran S; Manoj R; Palanisamy P; Gopi VP
    Comput Methods Programs Biomed; 2021 Sep; 209():106294. PubMed ID: 34364184
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN.
    Suchetha M; Ganesh NS; Raman R; Dhas DE
    Soft comput; 2021; 25(24):15255-15268. PubMed ID: 34421341
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.