BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

341 related articles for article (PubMed ID: 34971855)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks.
    Wang L; Zhang L; Zhu M; Qi X; Yi Z
    Med Image Anal; 2020 Apr; 61():101665. PubMed ID: 32062156
    [TBL] [Abstract][Full Text] [Related]  

  • 10. TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images.
    Tang L; Tian C; Yang H; Cui Z; Hui Y; Xu K; Shen D
    Med Image Anal; 2023 Oct; 89():102905. PubMed ID: 37517286
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cascade marker removal algorithm for thyroid ultrasound images.
    Ying X; Zhang Y; Yu M; Wei X; Zhu J; Gao J; Liu Z; Shen H; Zhang R; Li X; Yu R
    Med Biol Eng Comput; 2020 Nov; 58(11):2641-2656. PubMed ID: 32840765
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Multitask Cascade Convolution Neural Networks for Automatic Thyroid Nodule Detection and Recognition.
    Song W; Li S; Liu J; Qin H; Zhang B; Zhang S; Hao A
    IEEE J Biomed Health Inform; 2019 May; 23(3):1215-1224. PubMed ID: 29994412
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Localization and Risk Stratification of Thyroid Nodules in Ultrasound Images Through Deep Learning.
    Wang Z; Wang X; Wang T; Qiu J; Lu W
    Ultrasound Med Biol; 2024 Jun; 50(6):882-887. PubMed ID: 38494413
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Deep Learning-Based Segmentation of Nodules in Thyroid Ultrasound: Improving Performance by Utilizing Markers Present in the Images.
    Buda M; Wildman-Tobriner B; Castor K; Hoang JK; Mazurowski MA
    Ultrasound Med Biol; 2020 Feb; 46(2):415-421. PubMed ID: 31699547
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An intelligent platform for ultrasound diagnosis of thyroid nodules.
    Ye H; Hang J; Chen X; Di Xu ; Chen J; Ye X; Zhang D
    Sci Rep; 2020 Aug; 10(1):13223. PubMed ID: 32764673
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.