BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

882 related articles for article (PubMed ID: 32248132)

  • 1. UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.
    Wang X; Tang F; Chen H; Luo L; Tang Z; Ran AR; Cheung CY; Heng PA
    IEEE J Biomed Health Inform; 2020 Dec; 24(12):3431-3442. PubMed ID: 32248132
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.
    Wang X; Tang F; Chen H; Cheung CY; Heng PA
    Med Image Anal; 2023 Jan; 83():102673. PubMed ID: 36403310
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning.
    Schlegl T; Waldstein SM; Bogunovic H; Endstraßer F; Sadeghipour A; Philip AM; Podkowinski D; Gerendas BS; Langs G; Schmidt-Erfurth U
    Ophthalmology; 2018 Apr; 125(4):549-558. PubMed ID: 29224926
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Self-supervised iterative refinement learning for macular OCT volumetric data classification.
    Qiu J; Sun Y
    Comput Biol Med; 2019 Aug; 111():103327. PubMed ID: 31302456
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. Fully automated macular pathology detection in retina optical coherence tomography images using sparse coding and dictionary learning.
    Sun Y; Li S; Sun Z
    J Biomed Opt; 2017 Jan; 22(1):16012. PubMed ID: 28114453
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep Ensemble Learning Based Objective Grading of Macular Edema by Extracting Clinically Significant Findings from Fused Retinal Imaging Modalities.
    Hassan B; Hassan T; Li B; Ahmed R; Hassan O
    Sensors (Basel); 2019 Jul; 19(13):. PubMed ID: 31284442
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images.
    Alsaih K; Lemaitre G; Rastgoo M; Massich J; Sidibé D; Meriaudeau F
    Biomed Eng Online; 2017 Jun; 16(1):68. PubMed ID: 28592309
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated Segmentation of Retinal Fluid Volumes From Structural and Angiographic Optical Coherence Tomography Using Deep Learning.
    Guo Y; Hormel TT; Xiong H; Wang J; Hwang TS; Jia Y
    Transl Vis Sci Technol; 2020 Oct; 9(2):54. PubMed ID: 33110708
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.
    Arcadu F; Benmansour F; Maunz A; Michon J; Haskova Z; McClintock D; Adamis AP; Willis JR; Prunotto M
    Invest Ophthalmol Vis Sci; 2019 Mar; 60(4):852-857. PubMed ID: 30821810
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis.
    Tang F; Wang X; Ran AR; Chan CKM; Ho M; Yip W; Young AL; Lok J; Szeto S; Chan J; Yip F; Wong R; Tang Z; Yang D; Ng DS; Chen LJ; Brelén M; Chu V; Li K; Lai THT; Tan GS; Ting DSW; Huang H; Chen H; Ma JH; Tang S; Leng T; Kakavand S; Mannil SS; Chang RT; Liew G; Gopinath B; Lai TYY; Pang CP; Scanlon PH; Wong TY; Tham CC; Chen H; Heng PA; Cheung CY
    Diabetes Care; 2021 Sep; 44(9):2078-2088. PubMed ID: 34315698
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Development and Clinical Validation of Semi-Supervised Generative Adversarial Networks for Detection of Retinal Disorders in Optical Coherence Tomography Images Using Small Dataset.
    Zheng C; Ye H; Yang J; Fei P; Qiu Y; Xie X; Wang Z; Chen J; Zhao P
    Asia Pac J Ophthalmol (Phila); 2022 May; 11(3):219-226. PubMed ID: 35342179
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic detection of microaneurysms in optical coherence tomography images of retina using convolutional neural networks and transfer learning.
    Almasi R; Vafaei A; Kazeminasab E; Rabbani H
    Sci Rep; 2022 Aug; 12(1):13975. PubMed ID: 35978087
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 45.