BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

545 related articles for article (PubMed ID: 34814362)

  • 81. Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images.
    Yuan W; Wei J; Wang J; Ma Q; Tasdizen T
    Med Image Anal; 2020 Aug; 64():101731. PubMed ID: 32544841
    [TBL] [Abstract][Full Text] [Related]  

  • 82. SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image.
    Wang J; Li X; Lv P; Shi C
    Comput Math Methods Med; 2021; 2021():5976097. PubMed ID: 34422093
    [TBL] [Abstract][Full Text] [Related]  

  • 83. Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation.
    Rajamani KT; Siebert H; Heinrich MP
    J Biomed Inform; 2021 Jul; 119():103816. PubMed ID: 34022421
    [TBL] [Abstract][Full Text] [Related]  

  • 84. DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation.
    Xu Q; Ma Z; He N; Duan W
    Comput Biol Med; 2023 Mar; 154():106626. PubMed ID: 36736096
    [TBL] [Abstract][Full Text] [Related]  

  • 85. Time Series Forecasting and Classification Models Based on Recurrent with Attention Mechanism and Generative Adversarial Networks.
    Zhou K; Wang W; Hu T; Deng K
    Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33339314
    [TBL] [Abstract][Full Text] [Related]  

  • 86. A Deeply Supervised Convolutional Neural Network for Pavement Crack Detection With Multiscale Feature Fusion.
    Qu Z; Cao C; Liu L; Zhou DY
    IEEE Trans Neural Netw Learn Syst; 2022 Sep; 33(9):4890-4899. PubMed ID: 33720835
    [TBL] [Abstract][Full Text] [Related]  

  • 87. MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network.
    Ali H; Haq IU; Cui L; Feng J
    BMC Med Inform Decis Mak; 2022 Apr; 22(1):90. PubMed ID: 35379228
    [TBL] [Abstract][Full Text] [Related]  

  • 88. Improving Concrete Crack Segmentation Networks through CutMix Data Synthesis and Temporal Data Fusion.
    Jamshidi M; El-Badry M; Nourian N
    Sensors (Basel); 2023 Jan; 23(1):. PubMed ID: 36617106
    [TBL] [Abstract][Full Text] [Related]  

  • 89. CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images.
    Wang B; Wang S; Qiu S; Wei W; Wang H; He H
    IEEE J Biomed Health Inform; 2021 Apr; 25(4):1128-1138. PubMed ID: 32750968
    [TBL] [Abstract][Full Text] [Related]  

  • 90. 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]  

  • 91. AEC-Net: Attention and Edge Constraint Network for Medical Image Segmentation.
    Wang J; Zhao X; Ning Q; Qian D
    Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1616-1619. PubMed ID: 33018304
    [TBL] [Abstract][Full Text] [Related]  

  • 92. Automatic Liver Segmentation Using EfficientNet and Attention-Based Residual U-Net in CT.
    Wang J; Zhang X; Lv P; Wang H; Cheng Y
    J Digit Imaging; 2022 Dec; 35(6):1479-1493. PubMed ID: 35711074
    [TBL] [Abstract][Full Text] [Related]  

  • 93. Nighttime road scene image enhancement based on cycle-consistent generative adversarial network.
    Jia Y; Yu W; Chen G; Zhao L
    Sci Rep; 2024 Jun; 14(1):14375. PubMed ID: 38909068
    [TBL] [Abstract][Full Text] [Related]  

  • 94. Recurrent residual U-Net for medical image segmentation.
    Alom MZ; Yakopcic C; Hasan M; Taha TM; Asari VK
    J Med Imaging (Bellingham); 2019 Jan; 6(1):014006. PubMed ID: 30944843
    [TBL] [Abstract][Full Text] [Related]  

  • 95. Super-Resolution Reconstruction Method of Pavement Crack Images Based on an Improved Generative Adversarial Network.
    Yuan B; Sun Z; Pei L; Li W; Ding M; Hao X
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501791
    [TBL] [Abstract][Full Text] [Related]  

  • 96. Accurate colorectal tumor segmentation for CT scans based on the label assignment generative adversarial network.
    Liu X; Guo S; Zhang H; He K; Mu S; Guo Y; Li X
    Med Phys; 2019 Aug; 46(8):3532-3542. PubMed ID: 31087327
    [TBL] [Abstract][Full Text] [Related]  

  • 97. Automatic Lung Segmentation on Chest X-rays Using Self-Attention Deep Neural Network.
    Kim M; Lee BD
    Sensors (Basel); 2021 Jan; 21(2):. PubMed ID: 33430480
    [TBL] [Abstract][Full Text] [Related]  

  • 98. MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.
    He K; Lian C; Adeli E; Huo J; Gao Y; Zhang B; Zhang J; Shen D
    Med Image Anal; 2021 Jul; 71():102039. PubMed ID: 33831595
    [TBL] [Abstract][Full Text] [Related]  

  • 99. 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]  

  • 100. 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]  

    [Previous]   [Next]    [New Search]
    of 28.