BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

170 related articles for article (PubMed ID: 36328887)

  • 1. A Novel Model of Thyroid Nodule Segmentation for Ultrasound Images.
    Li C; Du R; Luo Q; Wang R; Ding X
    Ultrasound Med Biol; 2023 Feb; 49(2):489-496. PubMed ID: 36328887
    [TBL] [Abstract][Full Text] [Related]  

  • 2. BPAT-UNet: Boundary preserving assembled transformer UNet for ultrasound thyroid nodule segmentation.
    Bi H; Cai C; Sun J; Jiang Y; Lu G; Shu H; Ni X
    Comput Methods Programs Biomed; 2023 Aug; 238():107614. PubMed ID: 37244233
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. TNSNet: Thyroid nodule segmentation in ultrasound imaging using soft shape supervision.
    Sun J; Li C; Lu Z; He M; Zhao T; Li X; Gao L; Xie K; Lin T; Sui J; Xi Q; Zhang F; Ni X
    Comput Methods Programs Biomed; 2022 Mar; 215():106600. PubMed ID: 34971855
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentation.
    Chen G; Tan G; Duan M; Pu B; Luo H; Li S; Li K
    Comput Biol Med; 2024 Feb; 169():107898. PubMed ID: 38176210
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Segmentation of thyroid glands and nodules in ultrasound images using the improved U-Net architecture.
    Zheng T; Qin H; Cui Y; Wang R; Zhao W; Zhang S; Geng S; Zhao L
    BMC Med Imaging; 2023 Apr; 23(1):56. PubMed ID: 37060061
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.
    Ma J; Wu F; Jiang T; Zhao Q; Kong D
    Int J Comput Assist Radiol Surg; 2017 Nov; 12(11):1895-1910. PubMed ID: 28762196
    [TBL] [Abstract][Full Text] [Related]  

  • 8. FDE-net: Frequency-domain enhancement network using dynamic-scale dilated convolution for thyroid nodule segmentation.
    Chen H; Yu MA; Chen C; Zhou K; Qi S; Chen Y; Xiao R
    Comput Biol Med; 2023 Feb; 153():106514. PubMed ID: 36628913
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Local and Context-Attention Adaptive LCA-Net for Thyroid Nodule Segmentation in Ultrasound Images.
    Tao Z; Dang H; Shi Y; Wang W; Wang X; Ren S
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015742
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Objective assessment of segmentation models for thyroid ultrasound images.
    Yadav N; Dass R; Virmani J
    J Ultrasound; 2023 Sep; 26(3):673-685. PubMed ID: 36195781
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Super-resolution Guided Network for Improving Automated Thyroid Nodule Segmentation.
    Lin X; Zhou X; Tong T; Nie X; Wang L; Zheng H; Li J; Xue E; Chen S; Zheng M; Chen C; Jiang H; Du M; Gao Q
    Comput Methods Programs Biomed; 2022 Dec; 227():107186. PubMed ID: 36334526
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ultrasonic thyroid nodule detection method based on U-Net network.
    Chu C; Zheng J; Zhou Y
    Comput Methods Programs Biomed; 2021 Feb; 199():105906. PubMed ID: 33360682
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Shape-margin knowledge augmented network for thyroid nodule segmentation and diagnosis.
    Liu W; Lin C; Chen D; Niu L; Zhang R; Pi Z
    Comput Methods Programs Biomed; 2024 Feb; 244():107999. PubMed ID: 38194766
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Thyroid Nodule Segmentation and Classification Using Deep Convolutional Neural Network and Rule-based Classifiers.
    Shahroudnejad A; Vega R; Forouzandeh A; Balachandran S; Jaremko J; Noga M; Hareendranathan AR; Kapur J; Punithakumar K
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3118-3121. PubMed ID: 34891902
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Intuitionistic based segmentation of thyroid nodules in ultrasound images.
    Koundal D; Sharma B; Guo Y
    Comput Biol Med; 2020 Jun; 121():103776. PubMed ID: 32568671
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images.
    Tian Y; Zhu J; Zhang L; Mou L; Zhu X; Shi Y; Ma B; Zhao W
    J Vis Exp; 2023 Apr; (194):. PubMed ID: 37154577
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries.
    Mishra D; Chaudhury S; Sarkar M; Soin AS
    IEEE Trans Biomed Eng; 2019 Jun; 66(6):1637-1648. PubMed ID: 30346279
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.