BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 37945795)

  • 1. DBPNDNet: dual-branch networks using 3DCNN toward pulmonary nodule detection.
    Jian M; Jin H; Zhang L; Wei B; Yu H
    Med Biol Eng Comput; 2024 Feb; 62(2):563-573. PubMed ID: 37945795
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. A new computationally efficient CAD system for pulmonary nodule detection in CT imagery.
    Messay T; Hardie RC; Rogers SK
    Med Image Anal; 2010 Jun; 14(3):390-406. PubMed ID: 20346728
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Automatic segmentation of pulmonary blood vessels and nodules based on local intensity structure analysis and surface propagation in 3D chest CT images.
    Chen B; Kitasaka T; Honma H; Takabatake H; Mori M; Natori H; Mori K
    Int J Comput Assist Radiol Surg; 2012 May; 7(3):465-82. PubMed ID: 21739111
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. An adaptive morphology based segmentation technique for lung nodule detection in thoracic CT image.
    Halder A; Chatterjee S; Dey D; Kole S; Munshi S
    Comput Methods Programs Biomed; 2020 Dec; 197():105720. PubMed ID: 32877818
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network.
    Wang Q; Shen F; Shen L; Huang J; Sheng W
    J Digit Imaging; 2019 Dec; 32(6):971-979. PubMed ID: 31062113
    [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. 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]  

  • 18. A supervised 'lesion-enhancement' filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD).
    Suzuki K
    Phys Med Biol; 2009 Sep; 54(18):S31-45. PubMed ID: 19687563
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Pulmonary nodules detection assistant platform: An effective computer aided system for early pulmonary nodules detection in physical examination.
    Han Y; Qi H; Wang L; Chen C; Miao J; Xu H; Wang Z; Guo Z; Xu Q; Lin Q; Liu H; Lu J; Liang F; Feng W; Li H; Liu Y
    Comput Methods Programs Biomed; 2022 Apr; 217():106680. PubMed ID: 35176595
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.