These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

109 related articles for article (PubMed ID: 32599518)

  • 21. DRRNet: Dense Residual Refine Networks for Automatic Brain Tumor Segmentation.
    Sun J; Chen W; Peng S; Liu B
    J Med Syst; 2019 Jun; 43(7):221. PubMed ID: 31177346
    [TBL] [Abstract][Full Text] [Related]  

  • 22. ABCNet: A new efficient 3D dense-structure network for segmentation and analysis of body tissue composition on body-torso-wide CT images.
    Liu T; Pan J; Torigian DA; Xu P; Miao Q; Tong Y; Udupa JK
    Med Phys; 2020 Jul; 47(7):2986-2999. PubMed ID: 32170754
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm.
    Tran MT; Kim SH; Yang HJ; Lee GS; Oh IJ; Kang SR
    Sensors (Basel); 2021 Jul; 21(13):. PubMed ID: 34283090
    [TBL] [Abstract][Full Text] [Related]  

  • 24. PA-ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images.
    Xu Y; Cai M; Lin L; Zhang Y; Hu H; Peng Z; Zhang Q; Chen Q; Mao X; Iwamoto Y; Han XH; Chen YW; Tong R
    Med Phys; 2021 Jul; 48(7):3752-3766. PubMed ID: 33950526
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Automated left ventricular myocardium segmentation using 3D deeply supervised attention U-net for coronary computed tomography angiography; CT myocardium segmentation.
    Jun Guo B; He X; Lei Y; Harms J; Wang T; Curran WJ; Liu T; Jiang Zhang L; Yang X
    Med Phys; 2020 Apr; 47(4):1775-1785. PubMed ID: 32017118
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Fast catheter segmentation from echocardiographic sequences based on segmentation from corresponding X-ray fluoroscopy for cardiac catheterization interventions.
    Wu X; Housden J; Ma Y; Razavi B; Rhode K; Rueckert D
    IEEE Trans Med Imaging; 2015 Apr; 34(4):861-76. PubMed ID: 25291790
    [TBL] [Abstract][Full Text] [Related]  

  • 27. CFANet: Context fusing attentional network for preoperative CT image segmentation in robotic surgery.
    Lin Y; Wang J; Liu Q; Zhang K; Liu M; Wang Y
    Comput Biol Med; 2024 Mar; 171():108115. PubMed ID: 38402837
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Global channel attention networks for intracranial vessel segmentation.
    Ni J; Wu J; Wang H; Tong J; Chen Z; Wong KKL; Abbott D
    Comput Biol Med; 2020 Mar; 118():103639. PubMed ID: 32174318
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Cryo-balloon catheter localization in X-Ray fluoroscopy using U-net.
    Vernikouskaya I; Bertsche D; Dahme T; Rasche V
    Int J Comput Assist Radiol Surg; 2021 Aug; 16(8):1255-1262. PubMed ID: 33877525
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Incorporation of residual attention modules into two neural networks for low-dose CT denoising.
    Li M; Du Q; Duan L; Yang X; Zheng J; Jiang H; Li M
    Med Phys; 2021 Jun; 48(6):2973-2990. PubMed ID: 33890681
    [TBL] [Abstract][Full Text] [Related]  

  • 31. CE-Net: Context Encoder Network for 2D Medical Image Segmentation.
    Gu Z; Cheng J; Fu H; Zhou K; Hao H; Zhao Y; Zhang T; Gao S; Liu J
    IEEE Trans Med Imaging; 2019 Oct; 38(10):2281-2292. PubMed ID: 30843824
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Segmenting lung lesions of COVID-19 from CT images via pyramid pooling improved Unet.
    Ma Y; Feng P; He P; Ren Y; Guo X; Yu X; Wei B
    Biomed Phys Eng Express; 2021 May; 7(4):. PubMed ID: 33979791
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
    Roth HR; Lu L; Lay N; Harrison AP; Farag A; Sohn A; Summers RM
    Med Image Anal; 2018 Apr; 45():94-107. PubMed ID: 29427897
    [TBL] [Abstract][Full Text] [Related]  

  • 34. SAR-U-Net: Squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography.
    Wang J; Lv P; Wang H; Shi C
    Comput Methods Programs Biomed; 2021 Sep; 208():106268. PubMed ID: 34274611
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation.
    Budak Ü; Guo Y; Tanyildizi E; Şengür A
    Med Hypotheses; 2020 Jan; 134():109431. PubMed ID: 31669758
    [TBL] [Abstract][Full Text] [Related]  

  • 36. CLCU-Net: Cross-level connected U-shaped network with selective feature aggregation attention module for brain tumor segmentation.
    Wang YL; Zhao ZJ; Hu SY; Chang FL
    Comput Methods Programs Biomed; 2021 Aug; 207():106154. PubMed ID: 34034031
    [TBL] [Abstract][Full Text] [Related]  

  • 37. RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning.
    Liu J; Wang C; Guo J; Shao J; Xu X; Liu X; Li H; Li W; Yi Z
    Int J Comput Assist Radiol Surg; 2021 Jun; 16(6):895-904. PubMed ID: 33846890
    [TBL] [Abstract][Full Text] [Related]  

  • 38. ADR-Net: Context extraction network based on M-Net for medical image segmentation.
    Ji L; Jiang X; Gao Y; Fang Z; Cai Q; Wei Z
    Med Phys; 2020 Sep; 47(9):4254-4264. PubMed ID: 32602963
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Incorporating prior shape knowledge via data-driven loss model to improve 3D liver segmentation in deep CNNs.
    Mohagheghi S; Foruzan AH
    Int J Comput Assist Radiol Surg; 2020 Feb; 15(2):249-257. PubMed ID: 31686380
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture.
    Attia M; Hossny M; Zhou H; Nahavandi S; Asadi H; Yazdabadi A
    Comput Methods Programs Biomed; 2019 Aug; 177():17-30. PubMed ID: 31319945
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.