These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

197 related articles for article (PubMed ID: 34734373)

  • 1. Segmentation of Coronary Arteries Images Using Spatio-temporal Feature Fusion Network with Combo Loss.
    Zhu H; Song S; Xu L; Song A; Yang B
    Cardiovasc Eng Technol; 2022 Jun; 13(3):407-418. PubMed ID: 34734373
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A U-Shaped Network Based on Multi-level Feature and Dual-Attention Coordination Mechanism for Coronary Artery Segmentation of CCTA Images.
    Hong P; Du Y; Chen D; Peng C; Yang B; Xu L
    Cardiovasc Eng Technol; 2023 Jun; 14(3):380-392. PubMed ID: 36849622
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Combo loss: Handling input and output imbalance in multi-organ segmentation.
    Taghanaki SA; Zheng Y; Kevin Zhou S; Georgescu B; Sharma P; Xu D; Comaniciu D; Hamarneh G
    Comput Med Imaging Graph; 2019 Jul; 75():24-33. PubMed ID: 31129477
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Coronary artery segmentation under class imbalance using a U-Net based architecture on computed tomography angiography images.
    Pan LS; Li CW; Su SF; Tay SY; Tran QV; Chan WP
    Sci Rep; 2021 Jul; 11(1):14493. PubMed ID: 34262118
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Coronary artery segmentation in CCTA images based on multi-scale feature learning.
    Xu B; Yang J; Hong P; Fan X; Sun Y; Zhang L; Yang B; Xu L; Avolio A
    J Xray Sci Technol; 2024; 32(4):973-991. PubMed ID: 38943423
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Segmentation of coronary arteries images using global feature embedded network with active contour loss.
    Gu J; Fang Z; Gao Y; Tian F
    Comput Med Imaging Graph; 2020 Dec; 86():101799. PubMed ID: 33130419
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Segmentation and volume quantification of epicardial adipose tissue in computed tomography images.
    Li Y; Song S; Sun Y; Bao N; Yang B; Xu L
    Med Phys; 2022 Oct; 49(10):6477-6490. PubMed ID: 36047382
    [TBL] [Abstract][Full Text] [Related]  

  • 8. AVDNet: Joint coronary artery and vein segmentation with topological consistency.
    Wang W; Xia Q; Yan Z; Hu Z; Chen Y; Zheng W; Wang X; Nie S; Metaxas D; Zhang S
    Med Image Anal; 2024 Jan; 91():102999. PubMed ID: 37862866
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic coronary artery segmentation and diagnosis of stenosis by deep learning based on computed tomographic coronary angiography.
    Li Y; Wu Y; He J; Jiang W; Wang J; Peng Y; Jia Y; Xiong T; Jia K; Yi Z; Chen M
    Eur Radiol; 2022 Sep; 32(9):6037-6045. PubMed ID: 35394183
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A coronary artery CTA segmentation approach based on deep learning.
    Huang C; Yin C
    J Xray Sci Technol; 2022; 30(2):245-259. PubMed ID: 34957947
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Vessel segmentation from volumetric images: a multi-scale double-pathway network with class-balanced loss at the voxel level.
    Chen Y; Fan S; Chen Y; Che C; Cao X; He X; Song X; Zhao F
    Med Phys; 2021 Jul; 48(7):3804-3814. PubMed ID: 33969487
    [TBL] [Abstract][Full Text] [Related]  

  • 12. ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images.
    Zeng A; Wu C; Lin G; Xie W; Hong J; Huang M; Zhuang J; Bi S; Pan D; Ullah N; Khan KN; Wang T; Shi Y; Li X; Xu X
    Comput Med Imaging Graph; 2023 Oct; 109():102287. PubMed ID: 37634975
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Pulmonary arteries segmentation from CT images using PA-Net with attention module and contour loss.
    Yuan C; Song S; Yang J; Sun Y; Yang B; Xu L
    Med Phys; 2023 Aug; 50(8):4887-4898. PubMed ID: 36752170
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic coronary plaque detection, classification, and stenosis grading using deep learning and radiomics on computed tomography angiography images: a multi-center multi-vendor study.
    Jin X; Li Y; Yan F; Liu Y; Zhang X; Li T; Yang L; Chen H
    Eur Radiol; 2022 Aug; 32(8):5276-5286. PubMed ID: 35290509
    [TBL] [Abstract][Full Text] [Related]  

  • 16. HFCF-Net: A hybrid-feature cross fusion network for COVID-19 lesion segmentation from CT volumetric images.
    Wang Y; Yang Q; Tian L; Zhou X; Rekik I; Huang H
    Med Phys; 2022 Jun; 49(6):3797-3815. PubMed ID: 35301729
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images.
    Gu L; Cai XC
    Artif Intell Med; 2021 Nov; 121():102189. PubMed ID: 34763804
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Vessel filtering and segmentation of coronary CT angiographic images.
    Huang Y; Yang J; Sun Q; Ma S; Yuan Y; Tan W; Cao P; Feng C
    Int J Comput Assist Radiol Surg; 2022 Oct; 17(10):1879-1890. PubMed ID: 35764765
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Sequential vessel segmentation via deep channel attention network.
    Hao D; Ding S; Qiu L; Lv Y; Fei B; Zhu Y; Qin B
    Neural Netw; 2020 Aug; 128():172-187. PubMed ID: 32447262
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Fully-automatic segmentation of coronary artery using growing algorithm.
    Cui J; Guo H; Wang H; Chen F; Shu L; Li LC
    J Xray Sci Technol; 2020; 28(6):1171-1186. PubMed ID: 32925164
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.