These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

264 related articles for article (PubMed ID: 32239521)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database.
    Jacobs C; van Rikxoort EM; Murphy K; Prokop M; Schaefer-Prokop CM; van Ginneken B
    Eur Radiol; 2016 Jul; 26(7):2139-47. PubMed ID: 26443601
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The effect of pulmonary vessel suppression on computerized detection of nodules in chest CT scans.
    Gu X; Xie W; Fang Q; Zhao J; Li Q
    Med Phys; 2020 Oct; 47(10):4917-4927. PubMed ID: 32681587
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Pulmonary nodule segmentation with CT sample synthesis using adversarial networks.
    Qin Y; Zheng H; Huang X; Yang J; Zhu YM
    Med Phys; 2019 Mar; 46(3):1218-1229. PubMed ID: 30575046
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks.
    Huang X; Sun W; Tseng TB; Li C; Qian W
    Comput Med Imaging Graph; 2019 Jun; 74():25-36. PubMed ID: 30954678
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation.
    Dong X; Xu S; Liu Y; Wang A; Saripan MI; Li L; Zhang X; Lu L
    Cancer Imaging; 2020 Aug; 20(1):53. PubMed ID: 32738913
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.
    Setio AA; Ciompi F; Litjens G; Gerke P; Jacobs C; van Riel SJ; Wille MM; Naqibullah M; Sanchez CI; van Ginneken B
    IEEE Trans Med Imaging; 2016 May; 35(5):1160-1169. PubMed ID: 26955024
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans.
    Farhangi MM; Petrick N; Sahiner B; Frigui H; Amini AA; Pezeshk A
    Med Phys; 2020 Jun; 47(5):2150-2160. PubMed ID: 32030769
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. Segmentation of pulmonary nodules in CT images based on 3D-UNET combined with three-dimensional conditional random field optimization.
    Wu W; Gao L; Duan H; Huang G; Ye X; Nie S
    Med Phys; 2020 Sep; 47(9):4054-4063. PubMed ID: 32428969
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 14.