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 *

189 related articles for article (PubMed ID: 36637749)

  • 1. 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]  

  • 2. 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]  

  • 3. Overcoming the Challenge of Accurate Segmentation of Lung Nodules: A Multi-crop CNN Approach.
    Sweetline BC; Vijayakumaran C; Samydurai A
    J Imaging Inform Med; 2024 Jun; 37(3):988-1007. PubMed ID: 38347393
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SK-Unet++: An improved Unet++ network with adaptive receptive fields for automatic segmentation of ultrasound thyroid nodule images.
    Dai H; Xie W; Xia E
    Med Phys; 2024 Mar; 51(3):1798-1811. PubMed ID: 37606374
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Segmentation of small ground glass opacity pulmonary nodules based on Markov random field energy and Bayesian probability difference.
    Zhang S; Chen X; Zhu Z; Feng B; Chen Y; Long W
    Biomed Eng Online; 2020 Jun; 19(1):51. PubMed ID: 32552724
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. TPFR-Net: U-shaped model for lung nodule segmentation based on transformer pooling and dual-attention feature reorganization.
    Li X; Jiang A; Qiu Y; Li M; Zhang X; Yan S
    Med Biol Eng Comput; 2023 Aug; 61(8):1929-1946. PubMed ID: 37243853
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. A semantic segmentation of the lung nodules using a shape attention-guided contextual residual network.
    Zhang X; Fei L; Gong Q
    Phys Med Biol; 2023 Aug; 68(16):. PubMed ID: 37343581
    [No Abstract]   [Full Text] [Related]  

  • 13. 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]  

  • 14. Pulmonary nodule segmentation based on REMU-Net.
    Li D; Yuan S; Yao G
    Phys Eng Sci Med; 2022 Sep; 45(3):995-1004. PubMed ID: 35877020
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Study on Identification Method of Pulmonary Nodules: Improved Random Walk Pulmonary Parenchyma Segmentation and Fusion Multi-Feature VGG16 Nodule Classification.
    Zhang Y; Meng L
    Front Oncol; 2022; 12():822827. PubMed ID: 35371983
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Dual-Branch Framework With Prior Knowledge for Precise Segmentation of Lung Nodules in Challenging CT Scans.
    Jiang W; Zhi L; Zhang S; Zhou T
    IEEE J Biomed Health Inform; 2024 Mar; 28(3):1540-1551. PubMed ID: 38227405
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Boundary Aware Semantic Segmentation using Pyramid-dilated Dense U-Net for Lung Segmentation in Computed Tomography Images.
    Agnes SA
    J Med Phys; 2023; 48(2):161-174. PubMed ID: 37576094
    [TBL] [Abstract][Full Text] [Related]  

  • 18.
    Usman M; Shin YG
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850583
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [An automatic pulmonary nodules detection algorithm with multi-scale information fusion].
    Liu X; Qi S; Xiong P; Liu J; Wang H; Yang J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Jun; 37(3):434-441. PubMed ID: 32597085
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.