BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

107 related articles for article (PubMed ID: 32766387)

  • 1. COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net.
    Saeedizadeh N; Minaee S; Kafieh R; Yazdani S; Sonka M
    ArXiv; 2020 Aug; ():. PubMed ID: 32766387
    [TBL] [Abstract][Full Text] [Related]  

  • 2. COVID TV-Unet: Segmenting COVID-19 chest CT images using connectivity imposed Unet.
    Saeedizadeh N; Minaee S; Kafieh R; Yazdani S; Sonka M
    Comput Methods Programs Biomed Update; 2021; 1():100007. PubMed ID: 34337587
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated deep learning-based segmentation of COVID-19 lesions from chest computed tomography images.
    Salehi M; Ardekani MA; Taramsari AB; Ghaffari H; Haghparast M
    Pol J Radiol; 2022; 87():e478-e486. PubMed ID: 36091652
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic COVID-19 Lung Infection Segmentation through Modified Unet Model.
    Shamim S; Awan MJ; Mohd Zain A; Naseem U; Mohammed MA; Garcia-Zapirain B
    J Healthc Eng; 2022; 2022():6566982. PubMed ID: 35422980
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Dual attention fusion UNet for COVID-19 lesion segmentation from CT images.
    Ma Y; Zhang Y; Chen L; Jiang Q; Wei B
    J Xray Sci Technol; 2023; 31(4):713-729. PubMed ID: 37092210
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CARes-UNet: Content-aware residual UNet for lesion segmentation of COVID-19 from chest CT images.
    Xu X; Wen Y; Zhao L; Zhang Y; Zhao Y; Tang Z; Yang Z; Chen CY
    Med Phys; 2021 Nov; 48(11):7127-7140. PubMed ID: 34528263
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MID-UNet: Multi-input directional UNet for COVID-19 lung infection segmentation from CT images.
    Chi J; Zhang S; Han X; Wang H; Wu C; Yu X
    Signal Process Image Commun; 2022 Oct; 108():116835. PubMed ID: 35935468
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Decoders configurations based on Unet family and feature pyramid network for COVID-19 segmentation on CT images.
    Nguyen HT; Bao Tran T; Luong HH; Nguyen Huynh TK
    PeerJ Comput Sci; 2021; 7():e719. PubMed ID: 34616895
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Performance analysis of lightweight CNN models to segment infectious lung tissues of COVID-19 cases from tomographic images.
    Iyer TJ; Joseph Raj AN; Ghildiyal S; Nersisson R
    PeerJ Comput Sci; 2021; 7():e368. PubMed ID: 33817018
    [TBL] [Abstract][Full Text] [Related]  

  • 10. LungINFseg: Segmenting COVID-19 Infected Regions in Lung CT Images Based on a Receptive-Field-Aware Deep Learning Framework.
    Kumar Singh V; Abdel-Nasser M; Pandey N; Puig D
    Diagnostics (Basel); 2021 Jan; 11(2):. PubMed ID: 33498999
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Attention-VGG16-UNet: a novel deep learning approach for automatic segmentation of the median nerve in ultrasound images.
    Huang A; Jiang L; Zhang J; Wang Q
    Quant Imaging Med Surg; 2022 Jun; 12(6):3138-3150. PubMed ID: 35655843
    [TBL] [Abstract][Full Text] [Related]  

  • 12. COVID-DAI: A novel framework for COVID-19 detection and infection growth estimation using computed tomography images.
    Nazir T; Nawaz M; Javed A; Malik KM; Saudagar AKJ; Khan MB; Abul Hasanat MH; AlTameem A; AlKathami M
    Microsc Res Tech; 2022 Jun; 85(6):2313-2330. PubMed ID: 35194866
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MultiR-Net: A Novel Joint Learning Network for COVID-19 segmentation and classification.
    Li CF; Xu YD; Ding XH; Zhao JJ; Du RQ; Wu LZ; Sun WP
    Comput Biol Med; 2022 May; 144():105340. PubMed ID: 35305504
    [TBL] [Abstract][Full Text] [Related]  

  • 14. COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations.
    Yan Q; Wang B; Gong D; Luo C; Zhao W; Shen J; Ai J; Shi Q; Zhang Y; Jin S; Zhang L; You Z
    IEEE Trans Big Data; 2021 Mar; 7(1):13-24. PubMed ID: 36811064
    [TBL] [Abstract][Full Text] [Related]  

  • 15. COVID-19 Lung CT image segmentation using localization and enhancement methods with U-Net.
    Ilhan A; Alpan K; Sekeroglu B; Abiyev R
    Procedia Comput Sci; 2023; 218():1660-1667. PubMed ID: 36743788
    [TBL] [Abstract][Full Text] [Related]  

  • 16. ADU-Net: An Attention Dense U-Net based deep supervised DNN for automated lesion segmentation of COVID-19 from chest CT images.
    Saha S; Dutta S; Goswami B; Nandi D
    Biomed Signal Process Control; 2023 Aug; 85():104974. PubMed ID: 37122956
    [TBL] [Abstract][Full Text] [Related]  

  • 17. PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans.
    Bougourzi F; Distante C; Dornaika F; Taleb-Ahmed A
    Med Image Anal; 2023 May; 86():102797. PubMed ID: 36966605
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Lung and Infection CT-Scan-Based Segmentation with 3D UNet Architecture and Its Modification.
    Asnawi MH; Pravitasari AA; Darmawan G; Hendrawati T; Yulita IN; Suprijadi J; Nugraha FAL
    Healthcare (Basel); 2023 Jan; 11(2):. PubMed ID: 36673581
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SCTV-UNet: a COVID-19 CT segmentation network based on attention mechanism.
    Liu X; Liu Y; Fu W; Liu S
    Soft comput; 2023 Mar; ():1-11. PubMed ID: 37362261
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images.
    Zhang B; Qi S; Wu Y; Pan X; Yao Y; Qian W; Guan Y
    Comput Methods Programs Biomed; 2022 Jul; 222():106946. PubMed ID: 35716533
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.