BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

132 related articles for article (PubMed ID: 37216265)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Development of a modified 3D region proposal network for lung nodule detection in computed tomography scans: a secondary analysis of lung nodule datasets.
    Lin CY; Guo SM; Lien JJ; Tsai TY; Liu YS; Lai CH; Hsu IL; Chang CC; Tseng YL
    Cancer Imaging; 2024 Mar; 24(1):40. PubMed ID: 38509635
    [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. 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]  

  • 7. 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]  

  • 8. Two-stage lung nodule detection framework using enhanced UNet and convolutional LSTM networks in CT images.
    Akila Agnes S; Anitha J; Arun Solomon A
    Comput Biol Med; 2022 Oct; 149():106059. PubMed ID: 36087510
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An improved faster R-CNN algorithm for assisted detection of lung nodules.
    Xu J; Ren H; Cai S; Zhang X
    Comput Biol Med; 2023 Feb; 153():106470. PubMed ID: 36587571
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. Hierarchical approach for pulmonary-nodule identification from CT images using YOLO model and a 3D neural network classifier.
    Ahmadyar Y; Kamali-Asl A; Arabi H; Samimi R; Zaidi H
    Radiol Phys Technol; 2024 Mar; 17(1):124-134. PubMed ID: 37980315
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MSANet: Multiscale Aggregation Network Integrating Spatial and Channel Information for Lung Nodule Detection.
    Guo Z; Zhao L; Yuan J; Yu H
    IEEE J Biomed Health Inform; 2022 Jun; 26(6):2547-2558. PubMed ID: 34847048
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. S-Net: an S-shaped network for nodule detection in 3D CT images.
    Zhang J; Zou W; Hu N; Zhang B; Wang J
    Phys Med Biol; 2024 Apr; 69(7):. PubMed ID: 38382097
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 7.