BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 38006827)

  • 1. Densely connected convolutional networks for ultrasound image based lesion segmentation.
    Ma J; Kong D; Wu F; Bao L; Yuan J; Liu Y
    Comput Biol Med; 2024 Jan; 168():107725. PubMed ID: 38006827
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Transfer learning for automatic joint segmentation of thyroid and breast lesions from ultrasound images.
    Ma J; Bao L; Lou Q; Kong D
    Int J Comput Assist Radiol Surg; 2022 Feb; 17(2):363-372. PubMed ID: 34881409
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Global guidance network for breast lesion segmentation in ultrasound images.
    Xue C; Zhu L; Fu H; Hu X; Li X; Zhang H; Heng PA
    Med Image Anal; 2021 May; 70():101989. PubMed ID: 33640719
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Convolutional neural network for automated mass segmentation in mammography.
    Abdelhafiz D; Bi J; Ammar R; Yang C; Nabavi S
    BMC Bioinformatics; 2020 Dec; 21(Suppl 1):192. PubMed ID: 33297952
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network.
    Wang K; Liang S; Zhong S; Feng Q; Ning Z; Zhang Y
    Med Phys; 2021 Aug; 48(8):4262-4278. PubMed ID: 34053092
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A pre-trained convolutional neural network based method for thyroid nodule diagnosis.
    Ma J; Wu F; Zhu J; Xu D; Kong D
    Ultrasonics; 2017 Jan; 73():221-230. PubMed ID: 27668999
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Segmentation and classification of thyroid follicular neoplasm using cascaded convolutional neural network.
    Yang B; Yan M; Yan Z; Zhu C; Xu D; Dong F
    Phys Med Biol; 2020 Dec; 65(24):245040. PubMed ID: 33137800
    [TBL] [Abstract][Full Text] [Related]  

  • 9. C-Net: Cascaded convolutional neural network with global guidance and refinement residuals for breast ultrasound images segmentation.
    Chen G; Dai Y; Zhang J
    Comput Methods Programs Biomed; 2022 Oct; 225():107086. PubMed ID: 36044802
    [TBL] [Abstract][Full Text] [Related]  

  • 10. DENSE-INception U-net for medical image segmentation.
    Zhang Z; Wu C; Coleman S; Kerr D
    Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
    [TBL] [Abstract][Full Text] [Related]  

  • 11. BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis.
    Zhang E; Seiler S; Chen M; Lu W; Gu X
    Phys Med Biol; 2020 Jun; 65(12):125005. PubMed ID: 32155605
    [TBL] [Abstract][Full Text] [Related]  

  • 12. HCTNet: A hybrid CNN-transformer network for breast ultrasound image segmentation.
    He Q; Yang Q; Xie M
    Comput Biol Med; 2023 Mar; 155():106629. PubMed ID: 36787669
    [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. A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images.
    Hussain E; Mahanta LB; Das CR; Choudhury M; Chowdhury M
    Artif Intell Med; 2020 Jul; 107():101897. PubMed ID: 32828445
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A comparative study of pre-trained convolutional neural networks for semantic segmentation of breast tumors in ultrasound.
    Gómez-Flores W; Coelho de Albuquerque Pereira W
    Comput Biol Med; 2020 Nov; 126():104036. PubMed ID: 33059238
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network.
    Han L; Huang Y; Dou H; Wang S; Ahamad S; Luo H; Liu Q; Fan J; Zhang J
    Comput Methods Programs Biomed; 2020 Jun; 189():105275. PubMed ID: 31978805
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging.
    Tang P; Liang Q; Yan X; Xiang S; Sun W; Zhang D; Coppola G
    Comput Methods Programs Biomed; 2019 Sep; 178():289-301. PubMed ID: 31416556
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound.
    Cao X; Chen H; Li Y; Peng Y; Zhou Y; Cheng L; Liu T; Shen D
    Med Image Anal; 2022 Nov; 82():102589. PubMed ID: 36095905
    [TBL] [Abstract][Full Text] [Related]  

  • 19. HMA-Net: A deep U-shaped network combined with HarDNet and multi-attention mechanism for medical image segmentation.
    Liu Q; Han Z; Liu Z; Zhang J
    Med Phys; 2023 Mar; 50(3):1635-1646. PubMed ID: 36303466
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation.
    Vila MDM; Remeseiro B; Grau M; Elosua R; Betriu À; Fernandez-Giraldez E; Igual L
    Artif Intell Med; 2020 Mar; 103():101784. PubMed ID: 32143791
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.