BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

224 related articles for article (PubMed ID: 31946055)

  • 1. Hierarchical Pruning for Simplification of Convolutional Neural Networks in Diabetic Retinopathy Classification.
    Hajabdollahi M; Esfandiarpoor R; Najarian K; Karimi N; Samavi S; Reza Soroushmehr SM
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():970-973. PubMed ID: 31946055
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices.
    Choudhary T; Mishra V; Goswami A; Sarangapani J
    Comput Biol Med; 2021 Jul; 134():104432. PubMed ID: 33964737
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images.
    Hu W; Zhang Y; Li L
    Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31426516
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Low Complexity CNN Structure for Automatic Bleeding Zone Detection in Wireless Capsule Endoscopy Imaging.
    Hajabdollahi M; Esfandiarpoor R; Najarian K; Karimi N; Samavi S; Reza Soroushmehr SM
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():7227-7230. PubMed ID: 31947501
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks.
    He Y; Dong X; Kang G; Fu Y; Yan C; Yang Y
    IEEE Trans Cybern; 2020 Aug; 50(8):3594-3604. PubMed ID: 31478883
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Simplification of neural networks for skin lesion image segmentation using color channel pruning.
    Hajabdollahi M; Esfandiarpoor R; Khadivi P; Soroushmehr SMR; Karimi N; Samavi S
    Comput Med Imaging Graph; 2020 Jun; 82():101729. PubMed ID: 32442735
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Performance Analysis of Deep-Neural-Network-Based Automatic Diagnosis of Diabetic Retinopathy.
    Tariq H; Rashid M; Javed A; Zafar E; Alotaibi SS; Zia MYI
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009747
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification.
    Phan H; Andreotti F; Cooray N; Oliver Chen Y; De Vos M
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():453-456. PubMed ID: 30440432
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Exudate detection for diabetic retinopathy with convolutional neural networks.
    Shuang Yu ; Di Xiao ; Kanagasingam Y
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():1744-1747. PubMed ID: 29060224
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effective methods of diabetic retinopathy detection based on deep convolutional neural networks.
    Gu Y; Wang X; Pan J; Yong Z; Guo S; Pan T; Jiao Y; Zhou Z
    Int J Comput Assist Radiol Surg; 2021 Dec; 16(12):2177-2187. PubMed ID: 34606059
    [TBL] [Abstract][Full Text] [Related]  

  • 12. DMENet: Diabetic Macular Edema diagnosis using Hierarchical Ensemble of CNNs.
    Singh RK; Gorantla R
    PLoS One; 2020; 15(2):e0220677. PubMed ID: 32040475
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading.
    Zhou K; Gu Z; Liu W; Luo W; Cheng J; Gao S; Liu J
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2724-2727. PubMed ID: 30440966
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network.
    Wu Z; Shi G; Chen Y; Shi F; Chen X; Coatrieux G; Yang J; Luo L; Li S
    Artif Intell Med; 2020 Aug; 108():101936. PubMed ID: 32972665
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Understanding inherent image features in CNN-based assessment of diabetic retinopathy.
    Reguant R; Brunak S; Saha S
    Sci Rep; 2021 May; 11(1):9704. PubMed ID: 33958686
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Human peripheral blood leukocyte classification method based on convolutional neural network and data augmentation.
    Wang Y; Cao Y
    Med Phys; 2020 Jan; 47(1):142-151. PubMed ID: 31691975
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics.
    Li G; Wang J; Shen HW; Chen K; Shan G; Lu Z
    IEEE Trans Vis Comput Graph; 2021 Feb; 27(2):1364-1373. PubMed ID: 33048744
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Weak sub-network pruning for strong and efficient neural networks.
    Guo Q; Wu XJ; Kittler J; Feng Z
    Neural Netw; 2021 Dec; 144():614-626. PubMed ID: 34653719
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Filter pruning for convolutional neural networks in semantic image segmentation.
    López-González CI; Gascó E; Barrientos-Espillco F; Besada-Portas E; Pajares G
    Neural Netw; 2024 Jan; 169():713-732. PubMed ID: 37976595
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diabetic Retinopathy (DR) Severity Level Classification Using Multimodel Convolutional Neural Networks.
    Abidalkareem AJ; Abd MA; Ibrahim AK; Zhuang H; Altaher AS; Muhamed Ali A
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1404-1407. PubMed ID: 33018252
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.