BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

220 related articles for article (PubMed ID: 31682189)

  • 1. Validation of a Deep Learning Algorithm for Diabetic Retinopathy.
    Romero-Aroca P; Verges-Puig R; de la Torre J; Valls A; Relaño-Barambio N; Puig D; Baget-Bernaldiz M
    Telemed J E Health; 2020 Aug; 26(8):1001-1009. PubMed ID: 31682189
    [No Abstract]   [Full Text] [Related]  

  • 2. Testing a Deep Learning Algorithm for Detection of Diabetic Retinopathy in a Spanish Diabetic Population and with MESSIDOR Database.
    Baget-Bernaldiz M; Pedro RA; Santos-Blanco E; Navarro-Gil R; Valls A; Moreno A; Rashwan HA; Puig D
    Diagnostics (Basel); 2021 Jul; 11(8):. PubMed ID: 34441319
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs.
    Li Z; Keel S; Liu C; He Y; Meng W; Scheetz J; Lee PY; Shaw J; Ting D; Wong TY; Taylor H; Chang R; He M
    Diabetes Care; 2018 Dec; 41(12):2509-2516. PubMed ID: 30275284
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Validation of automated screening for referable diabetic retinopathy with the IDx-DR device in the Hoorn Diabetes Care System.
    van der Heijden AA; Abramoff MD; Verbraak F; van Hecke MV; Liem A; Nijpels G
    Acta Ophthalmol; 2018 Feb; 96(1):63-68. PubMed ID: 29178249
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A stratified analysis of a deep learning algorithm in the diagnosis of diabetic retinopathy in a real-world study.
    Li N; Ma M; Lai M; Gu L; Kang M; Wang Z; Jiao S; Dang K; Deng J; Ding X; Zhen Q; Zhang A; Shen T; Zheng Z; Wang Y; Peng Y
    J Diabetes; 2022 Feb; 14(2):111-120. PubMed ID: 34889059
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Validation of Deep Convolutional Neural Network-based algorithm for detection of diabetic retinopathy - Artificial intelligence versus clinician for screening.
    Shah P; Mishra DK; Shanmugam MP; Doshi B; Jayaraj H; Ramanjulu R
    Indian J Ophthalmol; 2020 Feb; 68(2):398-405. PubMed ID: 31957737
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Application of deep learning image assessment software VeriSee™ for diabetic retinopathy screening.
    Hsieh YT; Chuang LM; Jiang YD; Chang TJ; Yang CM; Yang CH; Chan LW; Kao TY; Chen TC; Lin HC; Tsai CH; Chen M
    J Formos Med Assoc; 2021 Jan; 120(1 Pt 1):165-171. PubMed ID: 32307321
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy.
    Sayres R; Taly A; Rahimy E; Blumer K; Coz D; Hammel N; Krause J; Narayanaswamy A; Rastegar Z; Wu D; Xu S; Barb S; Joseph A; Shumski M; Smith J; Sood AB; Corrado GS; Peng L; Webster DR
    Ophthalmology; 2019 Apr; 126(4):552-564. PubMed ID: 30553900
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning.
    Abràmoff MD; Lou Y; Erginay A; Clarida W; Amelon R; Folk JC; Niemeijer M
    Invest Ophthalmol Vis Sci; 2016 Oct; 57(13):5200-5206. PubMed ID: 27701631
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study.
    Zhang G; Lin JW; Wang J; Ji J; Cen LP; Chen W; Xie P; Zheng Y; Xiong Y; Wu H; Li D; Ng TK; Pang CP; Zhang M
    BMJ Open; 2022 Jul; 12(7):e060155. PubMed ID: 35902186
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis.
    Islam MM; Yang HC; Poly TN; Jian WS; Jack Li YC
    Comput Methods Programs Biomed; 2020 Jul; 191():105320. PubMed ID: 32088490
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Performance of Automated Machine Learning for Diabetic Retinopathy Image Classification from Multi-field Handheld Retinal Images.
    Jacoba CMP; Doan D; Salongcay RP; Aquino LAC; Silva JPY; Salva CMG; Zhang D; Alog GP; Zhang K; Locaylocay KLRB; Saunar AV; Ashraf M; Sun JK; Peto T; Aiello LP; Silva PS
    Ophthalmol Retina; 2023 Aug; 7(8):703-712. PubMed ID: 36924893
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep feed forward neural network-based screening system for diabetic retinopathy severity classification using the lion optimization algorithm.
    Vasireddi HK; K SD; G N V RR
    Graefes Arch Clin Exp Ophthalmol; 2022 Apr; 260(4):1245-1263. PubMed ID: 34505925
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluation of a deep learning system for the joint automated detection of diabetic retinopathy and age-related macular degeneration.
    González-Gonzalo C; Sánchez-Gutiérrez V; Hernández-Martínez P; Contreras I; Lechanteur YT; Domanian A; van Ginneken B; Sánchez CI
    Acta Ophthalmol; 2020 Jun; 98(4):368-377. PubMed ID: 31773912
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Screening for Diabetic Retinopathy Using an Automated Diagnostic System Based on Deep Learning: Diagnostic Accuracy Assessment.
    Rêgo S; Dutra-Medeiros M; Soares F; Monteiro-Soares M
    Ophthalmologica; 2021; 244(3):250-257. PubMed ID: 33120397
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy.
    Tseng VS; Chen CL; Liang CM; Tai MC; Liu JT; Wu PY; Deng MS; Lee YW; Huang TY; Chen YH
    Transl Vis Sci Technol; 2020 Jul; 9(2):41. PubMed ID: 32855845
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Untangling Computer-Aided Diagnostic System for Screening Diabetic Retinopathy Based on Deep Learning Techniques.
    Farooq MS; Arooj A; Alroobaea R; Baqasah AM; Jabarulla MY; Singh D; Sardar R
    Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35270949
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Screening Referable Diabetic Retinopathy Using a Semi-automated Deep Learning Algorithm Assisted Approach.
    Wang Y; Shi D; Tan Z; Niu Y; Jiang Y; Xiong R; Peng G; He M
    Front Med (Lausanne); 2021; 8():740987. PubMed ID: 34901058
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 11.