BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

194 related articles for article (PubMed ID: 36505893)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Evaluation of an Artificial Intelligence-Based Detector of Sub- and Intraretinal Fluid on a Large Set of Optical Coherence Tomography Volumes in Age-Related Macular Degeneration and Diabetic Macular Edema.
    Habra O; Gallardo M; Meyer Zu Westram T; De Zanet S; Jaggi D; Zinkernagel M; Wolf S; Sznitman R
    Ophthalmologica; 2022; 245(6):516-527. PubMed ID: 36215958
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Detection of Nonexudative Macular Neovascularization on Structural OCT Images Using Vision Transformers.
    Kihara Y; Shen M; Shi Y; Jiang X; Wang L; Laiginhas R; Lyu C; Yang J; Liu J; Morin R; Lu R; Fujiyoshi H; Feuer WJ; Gregori G; Rosenfeld PJ; Lee AY
    Ophthalmol Sci; 2022 Dec; 2(4):100197. PubMed ID: 36531577
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Advancing Diabetic Retinopathy Diagnosis: Leveraging Optical Coherence Tomography Imaging with Convolutional Neural Networks.
    Ahmed HS; Thrishulamurthy CJ
    Rom J Ophthalmol; 2023; 67(4):398-402. PubMed ID: 38239418
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Stitched vision transformer for age-related macular degeneration detection using retinal optical coherence tomography images.
    Azizi MM; Abhari S; Sajedi H
    PLoS One; 2024; 19(6):e0304943. PubMed ID: 38837967
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 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. Automatic Detection of AMD and DME Retinal Pathologies Using Deep Learning.
    Saidi L; Jomaa H; Zainab H; Zgolli H; Mabrouk S; Sidibé D; Tabia H; Khlifa N
    Int J Biomed Imaging; 2023; 2023():9966107. PubMed ID: 38046618
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Classification of diabetic maculopathy based on optical coherence tomography images using a Vision Transformer model.
    Cai L; Wen C; Jiang J; Liang C; Zheng H; Su Y; Chen C
    BMJ Open Ophthalmol; 2023 Dec; 8(1):. PubMed ID: 38135350
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Recent Advanced Deep Learning Architectures for Retinal Fluid Segmentation on Optical Coherence Tomography Images.
    Lin M; Bao G; Sang X; Wu Y
    Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35459040
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep Learning Classification of Drusen, Choroidal Neovascularization, and Diabetic Macular Edema in Optical Coherence Tomography (OCT) Images.
    Riazi Esfahani P; Reddy AJ; Nawathey N; Ghauri MS; Min M; Wagh H; Tak N; Patel R
    Cureus; 2023 Jul; 15(7):e41615. PubMed ID: 37565126
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated classification of choroidal neovascularization, diabetic macular edema, and drusen from retinal OCT images using vision transformers: a comparative study.
    Akça S; Garip Z; Ekinci E; Atban F
    Lasers Med Sci; 2024 May; 39(1):140. PubMed ID: 38797751
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Advancing glaucoma detection with convolutional neural networks: a paradigm shift in ophthalmology.
    Haja SA; Mahadevappa V
    Rom J Ophthalmol; 2023; 67(3):222-237. PubMed ID: 37876506
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.