BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

172 related articles for article (PubMed ID: 31093502)

  • 1. A Novel Neutrosophic Method for Automatic Seed Point Selection in Thyroid Nodule Images.
    Haji SO; Yousif RZ
    Biomed Res Int; 2019; 2019():7632308. PubMed ID: 31093502
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering.
    Shan J; Cheng HD; Wang Y
    Med Phys; 2012 Sep; 39(9):5669-82. PubMed ID: 22957633
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Thyroid nodule recognition in computed tomography using first order statistics.
    Peng W; Liu C; Xia S; Shao D; Chen Y; Liu R; Zhang Z
    Biomed Eng Online; 2017 Jun; 16(1):67. PubMed ID: 28592331
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Variance-reduction Approach to Detection of the Thyroid-nodule Boundary on Ultrasound Images.
    Chiu LY; Chen A
    Ultrason Imaging; 2019 Jul; 41(4):206-230. PubMed ID: 30990130
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic segmentation of tumors in B-Mode breast ultrasound images using information gain based neutrosophic clustering.
    Lal M; Kaur L; Gupta S
    J Xray Sci Technol; 2018; 26(2):209-225. PubMed ID: 29154313
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A hybrid multi-scale model for thyroid nodule boundary detection on ultrasound images.
    Tsantis S; Dimitropoulos N; Cavouras D; Nikiforidis G
    Comput Methods Programs Biomed; 2006 Dec; 84(2-3):86-98. PubMed ID: 17055608
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reliable Thyroid Carcinoma Detection with Real-Time Intelligent Analysis of Ultrasound Images.
    Fang H; Gong L; Xu Y; Zhuo Y; Kong W; Peng C; Yuan J
    Ultrasound Med Biol; 2021 Mar; 47(3):590-602. PubMed ID: 33328131
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. A Hybrid Multilayer Filtering Approach for Thyroid Nodule Segmentation on Ultrasound Images.
    Abbasian Ardakani A; Bitarafan-Rajabi A; Mohammadzadeh A; Mohammadi A; Riazi R; Abolghasemi J; Homayoun Jafari A; Bagher Shiran M
    J Ultrasound Med; 2019 Mar; 38(3):629-640. PubMed ID: 30171626
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Removal of manually induced artifacts in ultrasound images of thyroid nodules based on edge-connection and Criminisi image restoration algorithm.
    Sun M; Meng Q; Wang T; Liu T; Zhu Y; Qiu J; Lu W
    Comput Methods Programs Biomed; 2021 Mar; 200():105868. PubMed ID: 33261943
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic Recognition and Classification System of Thyroid Nodules in CT Images Based on CNN.
    Li W; Cheng S; Qian K; Yue K; Liu H
    Comput Intell Neurosci; 2021; 2021():5540186. PubMed ID: 34135949
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Integrating User-Input into Deep Convolutional Neural Networks for Thyroid Nodule Segmentation.
    Daulatabad R; Vega R; Jaremko JL; Kapur J; Hareendranathan AR; Punithakumar K
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2637-2640. PubMed ID: 34891794
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images.
    Ma J; Wu F; Jiang T; Zhu J; Kong D
    Med Phys; 2017 May; 44(5):1678-1691. PubMed ID: 28186630
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Development of a support vector machine-based image analysis system for assessing the thyroid nodule malignancy risk on ultrasound.
    Tsantis S; Cavouras D; Kalatzis I; Piliouras N; Dimitropoulos N; Nikiforidis G
    Ultrasound Med Biol; 2005 Nov; 31(11):1451-9. PubMed ID: 16286024
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.