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 *

117 related articles for article (PubMed ID: 32548298)

  • 1. Lung Nodule Sizes Are Encoded When Scaling CT Image for CNN's.
    Cherezov D; Paul R; Fetisov N; Gillies RJ; Schabath MB; Goldgof DB; Hall LO
    Tomography; 2020 Jun; 6(2):209-215. PubMed ID: 32548298
    [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. Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT.
    Ohno Y; Aoyagi K; Yaguchi A; Seki S; Ueno Y; Kishida Y; Takenaka D; Yoshikawa T
    Radiology; 2020 Aug; 296(2):432-443. PubMed ID: 32452736
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images.
    Monkam P; Qi S; Xu M; Han F; Zhao X; Qian W
    Biomed Eng Online; 2018 Jul; 17(1):96. PubMed ID: 30012167
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Agile convolutional neural network for pulmonary nodule classification using CT images.
    Zhao X; Liu L; Qi S; Teng Y; Li J; Qian W
    Int J Comput Assist Radiol Surg; 2018 Apr; 13(4):585-595. PubMed ID: 29473129
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Human-recognizable CT image features of subsolid lung nodules associated with diagnosis and classification by convolutional neural networks.
    Jiang B; Zhang Y; Zhang L; H de Bock G; Vliegenthart R; Xie X
    Eur Radiol; 2021 Oct; 31(10):7303-7315. PubMed ID: 33847813
    [TBL] [Abstract][Full Text] [Related]  

  • 8. High-resolution CT image analysis based on 3D convolutional neural network can enhance the classification performance of radiologists in classifying pulmonary non-solid nodules.
    Zhang T; Wang Y; Sun Y; Yuan M; Zhong Y; Li H; Yu T; Wang J
    Eur J Radiol; 2021 Aug; 141():109810. PubMed ID: 34102564
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network.
    Nishio M; Muramatsu C; Noguchi S; Nakai H; Fujimoto K; Sakamoto R; Fujita H
    Comput Biol Med; 2020 Nov; 126():104032. PubMed ID: 33045649
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future.
    Paul R; Schabath M; Gillies R; Hall L; Goldgof D
    Comput Biol Med; 2020 Jul; 122():103882. PubMed ID: 32658721
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A bilinear convolutional neural network for lung nodules classification on CT images.
    Mastouri R; Khlifa N; Neji H; Hantous-Zannad S
    Int J Comput Assist Radiol Surg; 2021 Jan; 16(1):91-101. PubMed ID: 33140257
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening.
    Tu SJ; Wang CW; Pan KT; Wu YC; Wu CT
    Phys Med Biol; 2018 Mar; 63(6):065005. PubMed ID: 29446758
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Using Multi-level Convolutional Neural Network for Classification of Lung Nodules on CT images.
    Lyu J; Ling SH
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():686-689. PubMed ID: 30440489
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
    Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
    Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network.
    Zhang C; Sun X; Dang K; Li K; Guo XW; Chang J; Yu ZQ; Huang FY; Wu YS; Liang Z; Liu ZY; Zhang XG; Gao XL; Huang SH; Qin J; Feng WN; Zhou T; Zhang YB; Fang WJ; Zhao MF; Yang XN; Zhou Q; Wu YL; Zhong WZ
    Oncologist; 2019 Sep; 24(9):1159-1165. PubMed ID: 30996009
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Lung Nodule Detection using Convolutional Neural Networks with Transfer Learning on CT Images.
    Gao J; Jiang Q; Zhou B; Chen D
    Comb Chem High Throughput Screen; 2021; 24(6):814-824. PubMed ID: 32664836
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey.
    Mastouri R; Khlifa N; Neji H; Hantous-Zannad S
    J Xray Sci Technol; 2020; 28(4):591-617. PubMed ID: 32568165
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.