BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

599 related articles for article (PubMed ID: 31028657)

  • 1. Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks.
    Gong L; Jiang S; Yang Z; Zhang G; Wang L
    Int J Comput Assist Radiol Surg; 2019 Nov; 14(11):1969-1979. PubMed ID: 31028657
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs.
    Gu Y; Lu X; Yang L; Zhang B; Yu D; Zhao Y; Gao L; Wu L; Zhou T
    Comput Biol Med; 2018 Dec; 103():220-231. PubMed ID: 30390571
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 3D multi-scale deep convolutional neural networks for pulmonary nodule detection.
    Peng H; Sun H; Guo Y
    PLoS One; 2021; 16(1):e0244406. PubMed ID: 33411741
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
    Huang W; Xue Y; Wu Y
    PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection.
    Eun H; Kim D; Jung C; Kim C
    Comput Methods Programs Biomed; 2018 Oct; 165():215-224. PubMed ID: 30337076
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method.
    Jung H; Kim B; Lee I; Lee J; Kang J
    BMC Med Imaging; 2018 Dec; 18(1):48. PubMed ID: 30509191
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection.
    Zheng S; Guo J; Cui X; Veldhuis RNJ; Oudkerk M; van Ooijen PMA
    IEEE Trans Med Imaging; 2020 Mar; 39(3):797-805. PubMed ID: 31425026
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 3D multi-view squeeze-and-excitation convolutional neural network for lung nodule classification.
    Yang Y; Li X; Fu J; Han Z; Gao B
    Med Phys; 2023 Mar; 50(3):1905-1916. PubMed ID: 36639958
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification.
    Zheng S; Cornelissen LJ; Cui X; Jing X; Veldhuis RNJ; Oudkerk M; van Ooijen PMA
    Med Phys; 2021 Feb; 48(2):733-744. PubMed ID: 33300162
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of pulmonary nodules based on a multiscale feature 3D U-Net convolutional neural network of transfer learning.
    Tang S; Yang M; Bai J
    PLoS One; 2020; 15(8):e0235672. PubMed ID: 32845877
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detection.
    Wu Z; Ge R; Shi G; Zhang L; Chen Y; Luo L; Cao Y; Yu H
    Phys Med Biol; 2020 Dec; 65(23):235053. PubMed ID: 32698172
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A unified methodology based on sparse field level sets and boosting algorithms for false positives reduction in lung nodules detection.
    Saien S; Moghaddam HA; Fathian M
    Int J Comput Assist Radiol Surg; 2018 Mar; 13(3):397-409. PubMed ID: 28795318
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An efficient multi-path 3D convolutional neural network for false-positive reduction of pulmonary nodule detection.
    Yuan H; Fan Z; Wu Y; Cheng J
    Int J Comput Assist Radiol Surg; 2021 Dec; 16(12):2269-2277. PubMed ID: 34449037
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.
    Dou Q; Chen H; Yu L; Qin J; Heng PA
    IEEE Trans Biomed Eng; 2017 Jul; 64(7):1558-1567. PubMed ID: 28113302
    [TBL] [Abstract][Full Text] [Related]  

  • 15. LungSeek: 3D Selective Kernel residual network for pulmonary nodule diagnosis.
    Zhang H; Zhang H
    Vis Comput; 2023; 39(2):679-692. PubMed ID: 35103029
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies.
    Nasrullah N; Sang J; Alam MS; Mateen M; Cai B; Hu H
    Sensors (Basel); 2019 Aug; 19(17):. PubMed ID: 31466261
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks.
    Onishi Y; Teramoto A; Tsujimoto M; Tsukamoto T; Saito K; Toyama H; Imaizumi K; Fujita H
    Int J Comput Assist Radiol Surg; 2020 Jan; 15(1):173-178. PubMed ID: 31732864
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic detection of lung nodules in CT datasets based on stable 3D mass-spring models.
    Cascio D; Magro R; Fauci F; Iacomi M; Raso G
    Comput Biol Med; 2012 Nov; 42(11):1098-109. PubMed ID: 23020972
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Pulmonary Nodule Detection Based on Multiscale Feature Fusion.
    Zhao Y; Wang Z; Liu X; Chen Q; Li C; Zhao H; Wang Z
    Comput Math Methods Med; 2022; 2022():8903037. PubMed ID: 36590762
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic pulmonary ground-glass opacity nodules detection and classification based on 3D neural network.
    Ma H; Guo H; Zhao M; Qi S; Li H; Tian Y; Li Z; Zhang G; Yao Y; Qian W
    Med Phys; 2022 Apr; 49(4):2555-2569. PubMed ID: 35092608
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 30.