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 *

403 related articles for article (PubMed ID: 31221402)

  • 1. A cascaded dual-pathway residual network for lung nodule segmentation in CT images.
    Liu H; Cao H; Song E; Ma G; Xu X; Jin R; Jin Y; Hung CC
    Phys Med; 2019 Jul; 63():112-121. PubMed ID: 31221402
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation.
    Wang S; Zhou M; Liu Z; Liu Z; Gu D; Zang Y; Dong D; Gevaert O; Tian J
    Med Image Anal; 2017 Aug; 40():172-183. PubMed ID: 28688283
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Dual-branch feature fusion S3D V-Net network for lung nodules segmentation.
    Xu X; Du L; Yin D
    J Appl Clin Med Phys; 2024 Jun; 25(6):e14331. PubMed ID: 38478388
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Lung nodule classification using deep Local-Global networks.
    Al-Shabi M; Lan BL; Chan WY; Ng KH; Tan M
    Int J Comput Assist Radiol Surg; 2019 Oct; 14(10):1815-1819. PubMed ID: 31020576
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-scale dense selective network based on border modeling for lung nodule segmentation.
    Wang H; Xiao N; Luo S; Li R; Zhao J; Ma Y; Zhao J; Qiang Y; Wang L; Lian J
    Int J Comput Assist Radiol Surg; 2023 May; 18(5):845-853. PubMed ID: 36637749
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Design of lung nodules segmentation and recognition algorithm based on deep learning.
    Yu H; Li J; Zhang L; Cao Y; Yu X; Sun J
    BMC Bioinformatics; 2021 Nov; 22(Suppl 5):314. PubMed ID: 34749636
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MRUNet-3D: A multi-stride residual 3D UNet for lung nodule segmentation.
    Bbosa R; Gui H; Luo F; Liu F; Efio-Akolly K; Chen YP
    Methods; 2024 Jun; 226():89-101. PubMed ID: 38642628
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
    Wang Y; Zhou C; Chan HP; Hadjiiski LM; Chughtai A; Kazerooni EA
    Med Phys; 2022 Nov; 49(11):7287-7302. PubMed ID: 35717560
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Segmentation and suppression of pulmonary vessels in low-dose chest CT scans.
    Gu X; Wang J; Zhao J; Li Q
    Med Phys; 2019 Aug; 46(8):3603-3614. PubMed ID: 31240721
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The effects of physics-based data augmentation on the generalizability of deep neural networks: Demonstration on nodule false-positive reduction.
    Omigbodun AO; Noo F; McNitt-Gray M; Hsu W; Hsieh SS
    Med Phys; 2019 Oct; 46(10):4563-4574. PubMed ID: 31396974
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A multi-view deep convolutional neural networks for lung nodule segmentation.
    Shuo Wang ; Mu Zhou ; Gevaert O; Zhenchao Tang ; Di Dong ; Zhenyu Liu ; Jie Tian
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():1752-1755. PubMed ID: 29060226
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Classification of benign and malignant lung nodules from CT images based on hybrid features.
    Zhang G; Yang Z; Gong L; Jiang S; Wang L
    Phys Med Biol; 2019 Jun; 64(12):125011. PubMed ID: 31141794
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DPBET: A dual-path lung nodules segmentation model based on boundary enhancement and hybrid transformer.
    Wang S; Jiang A; Li X; Qiu Y; Li M; Li F
    Comput Biol Med; 2022 Dec; 151(Pt B):106330. PubMed ID: 36450216
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep Deconvolutional Residual Network Based Automatic Lung Nodule Segmentation.
    Singadkar G; Mahajan A; Thakur M; Talbar S
    J Digit Imaging; 2020 Jun; 33(3):678-684. PubMed ID: 32026218
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Res-trans networks for lung nodule classification.
    Liu D; Liu F; Tie Y; Qi L; Wang F
    Int J Comput Assist Radiol Surg; 2022 Jun; 17(6):1059-1068. PubMed ID: 35290646
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning.
    Wu P; Sun X; Zhao Z; Wang H; Pan S; Schuller B
    Comput Intell Neurosci; 2020; 2020():8975078. PubMed ID: 32318102
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Segmentation Framework of Pulmonary Nodules in Lung CT Images.
    Mukhopadhyay S
    J Digit Imaging; 2016 Feb; 29(1):86-103. PubMed ID: 26055544
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.