BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

236 related articles for article (PubMed ID: 36008336)

  • 41. BiFTransNet: A unified and simultaneous segmentation network for gastrointestinal images of CT & MRI.
    Jiang X; Ding Y; Liu M; Wang Y; Li Y; Wu Z
    Comput Biol Med; 2023 Oct; 165():107326. PubMed ID: 37619324
    [TBL] [Abstract][Full Text] [Related]  

  • 42. 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]  

  • 43. Automatic liver tumor segmentation used the cascade multi-scale attention architecture method based on 3D U-Net.
    Wu Y; Shen H; Tan Y; Shi Y
    Int J Comput Assist Radiol Surg; 2022 Oct; 17(10):1915-1922. PubMed ID: 35672595
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Polyp segmentation network with hybrid channel-spatial attention and pyramid global context guided feature fusion.
    Huang X; Zhuo L; Zhang H; Yang Y; Li X; Zhang J; Wei W
    Comput Med Imaging Graph; 2022 Jun; 98():102072. PubMed ID: 35594809
    [TBL] [Abstract][Full Text] [Related]  

  • 45. An iterative multi-path fully convolutional neural network for automatic cardiac segmentation in cine MR images.
    Ma Z; Wu X; Wang X; Song Q; Yin Y; Cao K; Wang Y; Zhou J
    Med Phys; 2019 Dec; 46(12):5652-5665. PubMed ID: 31605627
    [TBL] [Abstract][Full Text] [Related]  

  • 46. [Ischemic stroke infarct segmentation model based on depthwise separable convolution for multimodal magnetic resonance imaging].
    Jin Y; Wang M; Chen J; Li Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2024 Jun; 41(3):535-543. PubMed ID: 38932540
    [TBL] [Abstract][Full Text] [Related]  

  • 47. LDANet: Automatic lung parenchyma segmentation from CT images.
    Chen Y; Feng L; Zheng C; Zhou T; Liu L; Liu P; Chen Y
    Comput Biol Med; 2023 Mar; 155():106659. PubMed ID: 36791550
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Semantic segmentation method of underwater images based on encoder-decoder architecture.
    Wang J; He X; Shao F; Lu G; Hu R; Jiang Q
    PLoS One; 2022; 17(8):e0272666. PubMed ID: 36006956
    [TBL] [Abstract][Full Text] [Related]  

  • 49. 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]  

  • 50. Multi-scale feature pyramid fusion network for medical image segmentation.
    Zhang B; Wang Y; Ding C; Deng Z; Li L; Qin Z; Ding Z; Bian L; Yang C
    Int J Comput Assist Radiol Surg; 2023 Feb; 18(2):353-365. PubMed ID: 36042149
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution.
    Cai Y; Long Y; Han Z; Liu M; Zheng Y; Yang W; Chen L
    BMC Med Inform Decis Mak; 2023 Feb; 23(1):33. PubMed ID: 36788560
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Boundary-aware context neural network for medical image segmentation.
    Wang R; Chen S; Ji C; Fan J; Li Y
    Med Image Anal; 2022 May; 78():102395. PubMed ID: 35231851
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Defect Detection of Subway Tunnels Using Advanced U-Net Network.
    Wang A; Togo R; Ogawa T; Haseyama M
    Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336501
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Automatic segmentation of prostate MRI based on 3D pyramid pooling Unet.
    Li Y; Lin C; Zhang Y; Feng S; Huang M; Bai Z
    Med Phys; 2023 Feb; 50(2):906-921. PubMed ID: 35923153
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Fully connected network with multi-scale dilation convolution module in evaluating atrial septal defect based on MRI segmentation.
    Chen H; Yan S; Xie M; Ye Y; Ye Y; Zhu D; Su L; Huang J
    Comput Methods Programs Biomed; 2022 Mar; 215():106608. PubMed ID: 35063713
    [TBL] [Abstract][Full Text] [Related]  

  • 56. 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]  

  • 57. Multi-task edge-recalibrated network for male pelvic multi-organ segmentation on CT images.
    Tong N; Gou S; Chen S; Yao Y; Yang S; Cao M; Kishan A; Sheng K
    Phys Med Biol; 2021 Jan; 66(3):035001. PubMed ID: 33197901
    [TBL] [Abstract][Full Text] [Related]  

  • 58. GC-Net: Global context network for medical image segmentation.
    Ni J; Wu J; Tong J; Chen Z; Zhao J
    Comput Methods Programs Biomed; 2020 Jul; 190():105121. PubMed ID: 31623863
    [TBL] [Abstract][Full Text] [Related]  

  • 59. FECC-Net: A Novel Feature Enhancement and Context Capture Network Based on Brain MRI Images for Lesion Segmentation.
    Huang Z; Zhang X; Song Y; Cai G
    Brain Sci; 2022 Jun; 12(6):. PubMed ID: 35741650
    [TBL] [Abstract][Full Text] [Related]  

  • 60. A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation.
    Dong C; Xu S; Dai D; Zhang Y; Zhang C; Li Z
    Med Image Anal; 2023 Apr; 85():102745. PubMed ID: 36630869
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.