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 *

192 related articles for article (PubMed ID: 31930019)

  • 21. Deep-Learning-Based Hemoglobin Concentration Prediction and Anemia Screening Using Ultra-Wide Field Fundus Images.
    Zhao X; Meng L; Su H; Lv B; Lv C; Xie G; Chen Y
    Front Cell Dev Biol; 2022; 10():888268. PubMed ID: 35663399
    [No Abstract]   [Full Text] [Related]  

  • 22. Deep learning for ultra-widefield imaging: a scoping review.
    Bhambra N; Antaki F; Malt FE; Xu A; Duval R
    Graefes Arch Clin Exp Ophthalmol; 2022 Dec; 260(12):3737-3778. PubMed ID: 35857087
    [TBL] [Abstract][Full Text] [Related]  

  • 23. FQ-UWF: Unpaired Generative Image Enhancement for Fundus Quality Ultra-Widefield Retinal Images.
    Lee KG; Song SJ; Lee S; Kim BH; Kong M; Lee KM
    Bioengineering (Basel); 2024 Jun; 11(6):. PubMed ID: 38927804
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Air tamponade in retinal detachment surgery followed by ultra-widefield fundus imaging system.
    Chen QY; Tang YX; He YQ; Lin HM; Gao RL; Li MY; Hou JT; Ma HJ; Zhang JL
    Int J Ophthalmol; 2018; 11(7):1198-1203. PubMed ID: 30046539
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Accuracy of automated machine learning in classifying retinal pathologies from ultra-widefield pseudocolour fundus images.
    Antaki F; Coussa RG; Kahwati G; Hammamji K; Sebag M; Duval R
    Br J Ophthalmol; 2023 Jan; 107(1):90-95. PubMed ID: 34344669
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Epiretinal Membrane Detection at the Ophthalmologist Level using Deep Learning of Optical Coherence Tomography.
    Lo YC; Lin KH; Bair H; Sheu WH; Chang CS; Shen YC; Hung CL
    Sci Rep; 2020 May; 10(1):8424. PubMed ID: 32439844
    [TBL] [Abstract][Full Text] [Related]  

  • 27. The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment.
    Yoo TK; Choi JY; Seo JG; Ramasubramanian B; Selvaperumal S; Kim DW
    Med Biol Eng Comput; 2019 Mar; 57(3):677-687. PubMed ID: 30349958
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comparison of B-Scan ultrasonography, ultra-widefield fundus imaging, and indirect ophthalmoscopy in detecting retinal breaks in cataractous eyes.
    Miao A; Xu J; Wei K; Lin P; Niu L; Shi Y; Qian D; Lu Y; Jiang Y; Zheng T
    Eye (Lond); 2024 Sep; 38(13):2619-2624. PubMed ID: 38658680
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Ultra-widefield fundus imaging in gas-filled eyes after vitrectomy.
    Inoue M; Koto T; Hirota K; Hirakata A
    BMC Ophthalmol; 2017 Jul; 17(1):114. PubMed ID: 28673266
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma.
    Zapata MA; Royo-Fibla D; Font O; Vela JI; Marcantonio I; Moya-Sánchez EU; Sánchez-Pérez A; Garcia-Gasulla D; Cortés U; Ayguadé E; Labarta J
    Clin Ophthalmol; 2020; 14():419-429. PubMed ID: 32103888
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Non-Mydriatic Ultra-Wide Field Imaging Versus Dilated Fundus Exam and Intraoperative Findings for Assessment of Rhegmatogenous Retinal Detachment.
    Abadia B; Desco MC; Mataix J; Palacios E; Navea A; Calvo P; Ferreras A
    Brain Sci; 2020 Aug; 10(8):. PubMed ID: 32764520
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Automated Identification of Diabetic Retinopathy Using Deep Learning.
    Gargeya R; Leng T
    Ophthalmology; 2017 Jul; 124(7):962-969. PubMed ID: 28359545
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images.
    Li Z; Guo C; Nie D; Lin D; Zhu Y; Chen C; Wu X; Xu F; Jin C; Zhang X; Xiao H; Zhang K; Zhao L; Yan P; Lai W; Li J; Feng W; Li Y; Wei Ting DS; Lin H
    Commun Biol; 2020 Jan; 3(1):15. PubMed ID: 31925315
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Deep Learning Approach for Automated Detection of Myopic Maculopathy and Pathologic Myopia in Fundus Images.
    Du R; Xie S; Fang Y; Igarashi-Yokoi T; Moriyama M; Ogata S; Tsunoda T; Kamatani T; Yamamoto S; Cheng CY; Saw SM; Ting D; Wong TY; Ohno-Matsui K
    Ophthalmol Retina; 2021 Dec; 5(12):1235-1244. PubMed ID: 33610832
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
    Gulshan V; Peng L; Coram M; Stumpe MC; Wu D; Narayanaswamy A; Venugopalan S; Widner K; Madams T; Cuadros J; Kim R; Raman R; Nelson PC; Mega JL; Webster DR
    JAMA; 2016 Dec; 316(22):2402-2410. PubMed ID: 27898976
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs.
    Phene S; Dunn RC; Hammel N; Liu Y; Krause J; Kitade N; Schaekermann M; Sayres R; Wu DJ; Bora A; Semturs C; Misra A; Huang AE; Spitze A; Medeiros FA; Maa AY; Gandhi M; Corrado GS; Peng L; Webster DR
    Ophthalmology; 2019 Dec; 126(12):1627-1639. PubMed ID: 31561879
    [TBL] [Abstract][Full Text] [Related]  

  • 37. AI-Model for Identifying Pathologic Myopia Based on Deep Learning Algorithms of Myopic Maculopathy Classification and "Plus" Lesion Detection in Fundus Images.
    Lu L; Ren P; Tang X; Yang M; Yuan M; Yu W; Huang J; Zhou E; Lu L; He Q; Zhu M; Ke G; Han W
    Front Cell Dev Biol; 2021; 9():719262. PubMed ID: 34722502
    [No Abstract]   [Full Text] [Related]  

  • 38. A Radiomic-Based Machine Learning System to Diagnose Age-Related Macular Degeneration from Ultra-Widefield Fundus Retinography.
    Interlenghi M; Sborgia G; Venturi A; Sardone R; Pastore V; Boscia G; Landini L; Scotti G; Niro A; Moscara F; Bandi L; Salvatore C; Castiglioni I
    Diagnostics (Basel); 2023 Sep; 13(18):. PubMed ID: 37761333
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparison between Deep-Learning-Based Ultra-Wide-Field Fundus Imaging and True-Colour Confocal Scanning for Diagnosing Glaucoma.
    Shin Y; Cho H; Shin YU; Seong M; Choi JW; Lee WJ
    J Clin Med; 2022 Jun; 11(11):. PubMed ID: 35683577
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Joint conditional generative adversarial networks for eyelash artifact removal in ultra-wide-field fundus images.
    Zhang J; Sha D; Ma Y; Zhang D; Tan T; Xu X; Yi Q; Zhao Y
    Front Cell Dev Biol; 2023; 11():1181305. PubMed ID: 37215081
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.