BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

156 related articles for article (PubMed ID: 34993079)

  • 1. Two-stage multitask U-Net construction for pulmonary nodule segmentation and malignancy risk prediction.
    Ni Y; Xie Z; Zheng D; Yang Y; Wang W
    Quant Imaging Med Surg; 2022 Jan; 12(1):292-309. PubMed ID: 34993079
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Efficient multiscale fully convolutional UNet model for segmentation of 3D lung nodule from CT image.
    Agnes SA; Anitha J
    J Med Imaging (Bellingham); 2022 Sep; 9(5):052402. PubMed ID: 35573467
    [No Abstract]   [Full Text] [Related]  

  • 5. 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]  

  • 6.
    Usman M; Shin YG
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850583
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A two-stage network with prior knowledge guidance for medullary thyroid carcinoma recognition in ultrasound images.
    Pan L; Cai Y; Lin N; Yang L; Zheng S; Huang L
    Med Phys; 2022 Apr; 49(4):2413-2426. PubMed ID: 35103313
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Construction of U-Net++ pulmonary nodule intelligent analysis model based on feature weighted aggregation.
    Yang D; Du J; Liu K; Sui Y; Wang J; Gai X
    Technol Health Care; 2023; 31(S1):477-486. PubMed ID: 37066943
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.
    Liu Z; Yuan H; Wang H
    Med Phys; 2022 Aug; 49(8):5294-5303. PubMed ID: 35609213
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. Differential Diagnosis of Benign and Malignant Pulmonary Nodules in CT Images Based on Multitask Learning.
    Song G; Dai Q; Nie Y; Chen G
    Curr Med Imaging; 2023 Oct; ():. PubMed ID: 37881081
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparative analysis of pulmonary nodules segmentation using multiscale residual U-Net and fuzzy C-means clustering.
    Shi J; Ye Y; Zhu D; Su L; Huang Y; Huang J
    Comput Methods Programs Biomed; 2021 Sep; 209():106332. PubMed ID: 34365313
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A bi-directional deep learning architecture for lung nodule semantic segmentation.
    Bhattacharyya D; Thirupathi Rao N; Joshua ESN; Hu YC
    Vis Comput; 2022 Sep; ():1-17. PubMed ID: 36097497
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. Lung tumor segmentation in 4D CT images using motion convolutional neural networks.
    Momin S; Lei Y; Tian Z; Wang T; Roper J; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X
    Med Phys; 2021 Nov; 48(11):7141-7153. PubMed ID: 34469001
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Study of multistep Dense U-Net-based automatic segmentation for head MRI scans.
    Gi Y; Oh G; Jo Y; Lim H; Ko Y; Hong J; Lee E; Park S; Kwak T; Kim S; Yoon M
    Med Phys; 2024 Mar; 51(3):2230-2238. PubMed ID: 37956307
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Detection of pulmonary nodules based on a multiscale feature 3D U-Net convolutional neural network of transfer learning.
    Tang S; Yang M; Bai J
    PLoS One; 2020; 15(8):e0235672. PubMed ID: 32845877
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.