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 *

193 related articles for article (PubMed ID: 30441176)

  • 1. Fusion of Deep Convolutional Neural Networks for Microaneurysm Detection in Color Fundus Images.
    Harangi B; Toth J; Hajdu A
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():3705-3708. PubMed ID: 30441176
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Introducing a Novel Layer in Convolutional Neural Network for Automatic Identification of Diabetic Retinopathy.
    Khojasteh P; Aliahmad B; Arjunan SP; Kumar DK
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5938-5941. PubMed ID: 30441688
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep Learning Approach for Automatic Microaneurysms Detection.
    Mateen M; Malik TS; Hayat S; Hameed M; Sun S; Wen J
    Sensors (Basel); 2022 Jan; 22(2):. PubMed ID: 35062506
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Microaneurysm detection in fundus images using a two-step convolutional neural network.
    Eftekhari N; Pourreza HR; Masoudi M; Ghiasi-Shirazi K; Saeedi E
    Biomed Eng Online; 2019 May; 18(1):67. PubMed ID: 31142335
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep Learning.
    Dai L; Fang R; Li H; Hou X; Sheng B; Wu Q; Jia W
    IEEE Trans Med Imaging; 2018 May; 37(5):1149-1161. PubMed ID: 29727278
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Retinopathy Analysis Based on Deep Convolution Neural Network.
    Hatanaka Y
    Adv Exp Med Biol; 2020; 1213():107-120. PubMed ID: 32030666
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Microaneurysms detection in color fundus images using machine learning based on directional local contrast.
    Long S; Chen J; Hu A; Liu H; Chen Z; Zheng D
    Biomed Eng Online; 2020 Apr; 19(1):21. PubMed ID: 32295576
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detection of Microaneurysms in Fundus Images Based on an Attention Mechanism.
    Zhang L; Feng S; Duan G; Li Y; Liu G
    Genes (Basel); 2019 Oct; 10(10):. PubMed ID: 31627420
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic Detection of Microaneurysms in Fundus Images Using an Ensemble-Based Segmentation Method.
    Raudonis V; Kairys A; Verkauskiene R; Sokolovska J; Petrovski G; Balciuniene VJ; Volke V
    Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050491
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Microaneurysm detection using fully convolutional neural networks.
    Chudzik P; Majumdar S; Calivá F; Al-Diri B; Hunter A
    Comput Methods Programs Biomed; 2018 May; 158():185-192. PubMed ID: 29544784
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms.
    Khojasteh P; Aliahmad B; Kumar DK
    BMC Ophthalmol; 2018 Nov; 18(1):288. PubMed ID: 30400869
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Improving microaneurysm detection in color fundus images by using context-aware approaches.
    Antal B; Hajdu A
    Comput Med Imaging Graph; 2013; 37(5-6):403-8. PubMed ID: 23746595
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An ensemble deep learning based approach for red lesion detection in fundus images.
    Orlando JI; Prokofyeva E; Del Fresno M; Blaschko MB
    Comput Methods Programs Biomed; 2018 Jan; 153():115-127. PubMed ID: 29157445
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Convolutional Neural Network-Based Early Automated Detection of Diabetic Retinopathy Using Fundus Image.
    Xu K; Feng D; Mi H
    Molecules; 2017 Nov; 22(12):. PubMed ID: 29168750
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel microaneurysms detection approach based on convolutional neural networks with reinforcement sample learning algorithm.
    Budak U; Şengür A; Guo Y; Akbulut Y
    Health Inf Sci Syst; 2017 Dec; 5(1):14. PubMed ID: 29147563
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detection of Fundus Lesions through a Convolutional Neural Network in Patients with Diabetic Retinopathy.
    Santos C; de Aguiar MS; Welfer D; Belloni BM
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2692-2695. PubMed ID: 34891806
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detection of microaneurysms using ant colony algorithm in the early diagnosis of diabetic retinopathy.
    Selçuk T; Alkan A
    Med Hypotheses; 2019 Aug; 129():109242. PubMed ID: 31371092
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Microaneurysm detection in color eye fundus images for diabetic retinopathy screening.
    Melo T; Mendonça AM; Campilho A
    Comput Biol Med; 2020 Nov; 126():103995. PubMed ID: 33007620
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep Bayesian baseline for segmenting diabetic retinopathy lesions: Advances and challenges.
    Garifullin A; Lensu L; Uusitalo H
    Comput Biol Med; 2021 Sep; 136():104725. PubMed ID: 34399196
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic detection of microaneurysms in diabetic retinopathy fundus images using the L*a*b color space.
    Navarro PJ; Alonso D; Stathis K
    J Opt Soc Am A Opt Image Sci Vis; 2016 Jan; 33(1):74-83. PubMed ID: 26831588
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.