BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

223 related articles for article (PubMed ID: 35809410)

  • 1. Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: A case study on HeLa line.
    Ghaznavi A; Rychtáriková R; Saberioon M; Štys D
    Comput Biol Med; 2022 Aug; 147():105805. PubMed ID: 35809410
    [TBL] [Abstract][Full Text] [Related]  

  • 2. RSU-Net: U-net based on residual and self-attention mechanism in the segmentation of cardiac magnetic resonance images.
    Li YZ; Wang Y; Huang YH; Xiang P; Liu WX; Lai QQ; Gao YY; Xu MS; Guo YF
    Comput Methods Programs Biomed; 2023 Apr; 231():107437. PubMed ID: 36863157
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Road crack segmentation using an attention residual U-Net with generative adversarial learning.
    Hu X; Yao M; Zhang D
    Math Biosci Eng; 2021 Nov; 18(6):9669-9684. PubMed ID: 34814362
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hybrid dilation and attention residual U-Net for medical image segmentation.
    Wang Z; Zou Y; Liu PX
    Comput Biol Med; 2021 Jul; 134():104449. PubMed ID: 33993015
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images.
    Zhao D; Ge W; Chen P; Hu Y; Dang Y; Liang R; Guo X
    Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366169
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dense gate network for biomedical image segmentation.
    Li D; Chen C; Li J; Wang L
    Int J Comput Assist Radiol Surg; 2020 Aug; 15(8):1247-1255. PubMed ID: 32270415
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Multi-Scale Context Aware Attention Model for Medical Image Segmentation.
    Alam MS; Wang D; Liao Q; Sowmya A
    IEEE J Biomed Health Inform; 2023 Aug; 27(8):3731-3739. PubMed ID: 37015493
    [TBL] [Abstract][Full Text] [Related]  

  • 12. W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data.
    Gare GR; Li J; Joshi R; Magar R; Vaze MP; Yousefpour M; Rodriguez RL; Galeotti JM
    Med Image Anal; 2022 Feb; 76():102326. PubMed ID: 34936967
    [TBL] [Abstract][Full Text] [Related]  

  • 13. SA-Net: A scale-attention network for medical image segmentation.
    Hu J; Wang H; Wang J; Wang Y; He F; Zhang J
    PLoS One; 2021; 16(4):e0247388. PubMed ID: 33852577
    [TBL] [Abstract][Full Text] [Related]  

  • 14. FCRB U-Net: A novel fully connected residual block U-Net for fetal cerebellum ultrasound image segmentation.
    Shu X; Gu Y; Zhang X; Hu C; Cheng K
    Comput Biol Med; 2022 Sep; 148():105693. PubMed ID: 35717404
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. R2U++: a multiscale recurrent residual U-Net with dense skip connections for medical image segmentation.
    Mubashar M; Ali H; Grönlund C; Azmat S
    Neural Comput Appl; 2022; 34(20):17723-17739. PubMed ID: 35694048
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using AAEHS-Net as an Attention-Based Auxiliary Extraction and Hybrid Subsampled Network for Semantic Segmentation.
    Zhao S; Wang Y; Tian K
    Comput Intell Neurosci; 2022; 2022():1536976. PubMed ID: 36275973
    [TBL] [Abstract][Full Text] [Related]  

  • 18. IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation.
    Chen S; Zou Y; Liu PX
    Comput Biol Med; 2021 Aug; 135():104551. PubMed ID: 34157471
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Clinical target segmentation using a novel deep neural network: double attention Res-U-Net.
    Ashkani Chenarlogh V; Shabanzadeh A; Ghelich Oghli M; Sirjani N; Farzin Moghadam S; Akhavan A; Arabi H; Shiri I; Shabanzadeh Z; Sanei Taheri M; Kazem Tarzamni M
    Sci Rep; 2022 Apr; 12(1):6717. PubMed ID: 35468984
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 12.