BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

279 related articles for article (PubMed ID: 35877020)

  • 1. Pulmonary nodule segmentation based on REMU-Net.
    Li D; Yuan S; Yao G
    Phys Eng Sci Med; 2022 Sep; 45(3):995-1004. PubMed ID: 35877020
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images.
    Balraj K; Ramteke M; Mittal S; Bhargava R; Rathore AS
    Sci Rep; 2024 Jun; 14(1):12699. PubMed ID: 38830932
    [TBL] [Abstract][Full Text] [Related]  

  • 4. ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation.
    Ji Z; Mu J; Liu J; Zhang H; Dai C; Zhang X; Ganchev I
    Med Biol Eng Comput; 2024 Jun; 62(6):1673-1687. PubMed ID: 38326677
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Segmentation of ground glass pulmonary nodules using full convolution residual network based on atrous spatial pyramid pooling structure and attention mechanism].
    Dong T; Wei L; Ye X; Chen Y; Hou X; Nie S
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Jun; 39(3):441-451. PubMed ID: 35788513
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A multiple-channel and atrous convolution network for ultrasound image segmentation.
    Zhang L; Zhang J; Li Z; Song Y
    Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.
    Liu Z; Yuan H; Wang H
    Med Phys; 2022 Aug; 49(8):5294-5303. PubMed ID: 35609213
    [TBL] [Abstract][Full Text] [Related]  

  • 8. TPFR-Net: U-shaped model for lung nodule segmentation based on transformer pooling and dual-attention feature reorganization.
    Li X; Jiang A; Qiu Y; Li M; Zhang X; Yan S
    Med Biol Eng Comput; 2023 Aug; 61(8):1929-1946. PubMed ID: 37243853
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multi-view secondary input collaborative deep learning for lung nodule 3D segmentation.
    Dong X; Xu S; Liu Y; Wang A; Saripan MI; Li L; Zhang X; Lu L
    Cancer Imaging; 2020 Aug; 20(1):53. PubMed ID: 32738913
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A dense residual U-net for multiple sclerosis lesions segmentation from multi-sequence 3D MR images.
    Sarica B; Seker DZ; Bayram B
    Int J Med Inform; 2023 Feb; 170():104965. PubMed ID: 36580821
    [TBL] [Abstract][Full Text] [Related]  

  • 11. ASU-Net++: A nested U-Net with adaptive feature extractions for liver tumor segmentation.
    Gao Q; Almekkawy M
    Comput Biol Med; 2021 Sep; 136():104688. PubMed ID: 34523421
    [TBL] [Abstract][Full Text] [Related]  

  • 12. MHSU-Net: A more versatile neural network for medical image segmentation.
    Ma H; Zou Y; Liu PX
    Comput Methods Programs Biomed; 2021 Sep; 208():106230. PubMed ID: 34148011
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Cascaded atrous convolution and spatial pyramid pooling for more accurate tumor target segmentation for rectal cancer radiotherapy.
    Men K; Boimel P; Janopaul-Naylor J; Zhong H; Huang M; Geng H; Cheng C; Fan Y; Plastaras JP; Ben-Josef E; Xiao Y
    Phys Med Biol; 2018 Sep; 63(18):185016. PubMed ID: 30109986
    [TBL] [Abstract][Full Text] [Related]  

  • 14. RAD-UNet: Research on an improved lung nodule semantic segmentation algorithm based on deep learning.
    Wu Z; Li X; Zuo J
    Front Oncol; 2023; 13():1084096. PubMed ID: 37035155
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. SaraNet: Semantic aggregation reverse attention network for pulmonary nodule segmentation.
    Wang J; Qi M; Xiang Z; Tian Y; Tong D
    Comput Biol Med; 2024 Jul; 177():108674. PubMed ID: 38815486
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Design of lung nodules segmentation and recognition algorithm based on deep learning.
    Yu H; Li J; Zhang L; Cao Y; Yu X; Sun J
    BMC Bioinformatics; 2021 Nov; 22(Suppl 5):314. PubMed ID: 34749636
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-scale dense selective network based on border modeling for lung nodule segmentation.
    Wang H; Xiao N; Luo S; Li R; Zhao J; Ma Y; Zhao J; Qiang Y; Wang L; Lian J
    Int J Comput Assist Radiol Surg; 2023 May; 18(5):845-853. PubMed ID: 36637749
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Lung parenchyma segmentation based on double scale parallel attention network].
    Feng K; Ren L; Wu Y; Li Y; Wang H; Wang G
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Aug; 39(4):721-729. PubMed ID: 36008336
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel MCF-Net: Multi-level context fusion network for 2D medical image segmentation.
    Liu L; Liu Y; Zhou J; Guo C; Duan H
    Comput Methods Programs Biomed; 2022 Nov; 226():107160. PubMed ID: 36191351
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.