BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

176 related articles for article (PubMed ID: 32095944)

  • 1. An Embedded Multi-branch 3D Convolution Neural Network for False Positive Reduction in Lung Nodule Detection.
    Zuo W; Zhou F; He Y
    J Digit Imaging; 2020 Aug; 33(4):846-857. PubMed ID: 32095944
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic classification of lung nodule candidates based on a novel 3D convolution network and knowledge transferred from a 2D network.
    Zuo W; Zhou F; He Y; Li X
    Med Phys; 2019 Dec; 46(12):5499-5513. PubMed ID: 31621916
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Attention-embedded complementary-stream CNN for false positive reduction in pulmonary nodule detection.
    Sun L; Wang Z; Pu H; Yuan G; Guo L; Pu T; Peng Z
    Comput Biol Med; 2021 Jun; 133():104357. PubMed ID: 33836449
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Multi-level 3D Densenets for False-positive Reduction in Lung Nodule Detection Based on Chest Computed Tomography.
    Lu X; Gu Y; Yang L; Zhang B; Zhao Y; Yu D; Zhao J; Gao L; Zhou T; Liu Y; Zhang W
    Curr Med Imaging; 2020; 16(8):1004-1021. PubMed ID: 33081662
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 3D ARCNN: An Asymmetric Residual CNN for False Positive Reduction in Pulmonary Nodule.
    Liu B; Song H; Li Q; Lin Y; Weng X; Su Z; Yang J
    IEEE Trans Nanobioscience; 2024 Jan; 23(1):18-25. PubMed ID: 37216265
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. A deep 3D residual CNN for false-positive reduction in pulmonary nodule detection.
    Jin H; Li Z; Tong R; Lin L
    Med Phys; 2018 May; 45(5):2097-2107. PubMed ID: 29500816
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection.
    Kim BC; Yoon JS; Choi JS; Suk HI
    Neural Netw; 2019 Jul; 115():1-10. PubMed ID: 30909118
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Multiscale CNN with compound fusions for false positive reduction in lung nodule detection.
    Mittapalli PS; V T
    Artif Intell Med; 2021 Mar; 113():102017. PubMed ID: 33685584
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Pulmonary nodule detection using hybrid two-stage 3D CNNs.
    Tan M; Wu F; Yang B; Ma J; Kong D; Chen Z; Long D
    Med Phys; 2020 Aug; 47(8):3376-3388. PubMed ID: 32239521
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pulmonary nodule detection on chest radiographs using balanced convolutional neural network and classic candidate detection.
    Chen S; Han Y; Lin J; Zhao X; Kong P
    Artif Intell Med; 2020 Jul; 107():101881. PubMed ID: 32828440
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching.
    Luo X; Song T; Wang G; Chen J; Chen Y; Li K; Metaxas DN; Zhang S
    Med Image Anal; 2022 Jan; 75():102287. PubMed ID: 34731775
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules.
    Chen Y; Hou X; Yang Y; Ge Q; Zhou Y; Nie S
    J Digit Imaging; 2023 Apr; 36(2):688-699. PubMed ID: 36544067
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.