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 *

249 related articles for article (PubMed ID: 36413066)

  • 1. MCFSA-Net: A multi-scale channel fusion and spatial activation network for retinal vessel segmentation.
    Li R; Li Z; Fan H; Teng S; Cao X
    J Biophotonics; 2023 Apr; 16(4):e202200295. PubMed ID: 36413066
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-level spatial-temporal and attentional information deep fusion network for retinal vessel segmentation.
    Huang Y; Deng T
    Phys Med Biol; 2023 Sep; 68(19):. PubMed ID: 37567227
    [No Abstract]   [Full Text] [Related]  

  • 3. AMF-NET: Attention-aware Multi-scale Fusion Network for Retinal Vessel Segmentation.
    Yang Q; Ma B; Cui H; Ma J
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3277-3280. PubMed ID: 34891940
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation.
    Ryu J; Rehman MU; Nizami IF; Chong KT
    Comput Biol Med; 2023 Sep; 163():107132. PubMed ID: 37343468
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MINet: Multi-scale input network for fundus microvascular segmentation.
    Li X; Song J; Jiao W; Zheng Y
    Comput Biol Med; 2023 Mar; 154():106608. PubMed ID: 36731364
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dual-path multi-scale context dense aggregation network for retinal vessel segmentation.
    Zhou W; Bai W; Ji J; Yi Y; Zhang N; Cui W
    Comput Biol Med; 2023 Sep; 164():107269. PubMed ID: 37562323
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images.
    Wang B; Wang S; Qiu S; Wei W; Wang H; He H
    IEEE J Biomed Health Inform; 2021 Apr; 25(4):1128-1138. PubMed ID: 32750968
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MFI-Net: A multi-resolution fusion input network for retinal vessel segmentation.
    Jiang Y; Wu C; Wang G; Yao HX; Liu WH
    PLoS One; 2021; 16(7):e0253056. PubMed ID: 34252111
    [TBL] [Abstract][Full Text] [Related]  

  • 9. HRD-Net: High resolution segmentation network with adaptive learning ability of retinal vessel features.
    Liu J; Zhao D; Shen J; Geng P; Zhang Y; Yang J; Zhang Z
    Comput Biol Med; 2024 May; 173():108295. PubMed ID: 38520920
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Accurate Retinal Vessel Segmentation in Color Fundus Images via Fully Attention-Based Networks.
    Li K; Qi X; Luo Y; Yao Z; Zhou X; Sun M
    IEEE J Biomed Health Inform; 2021 Jun; 25(6):2071-2081. PubMed ID: 33001809
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation.
    Ye Y; Pan C; Wu Y; Wang S; Xia Y
    IEEE J Biomed Health Inform; 2022 Sep; 26(9):4551-4562. PubMed ID: 35696471
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Skip connection information enhancement network for retinal vessel segmentation.
    Liang J; Jiang Y; Yan H
    Med Biol Eng Comput; 2024 Oct; 62(10):3163-3178. PubMed ID: 38789838
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Segmentation of retinal vessels in fundus images based on U-Net with self-calibrated convolutions and spatial attention modules.
    Rong Y; Xiong Y; Li C; Chen Y; Wei P; Wei C; Fan Z
    Med Biol Eng Comput; 2023 Jul; 61(7):1745-1755. PubMed ID: 36899285
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images.
    Liu Y; Shen J; Yang L; Yu H; Bian G
    Comput Biol Med; 2023 Jan; 152():106341. PubMed ID: 36463794
    [TBL] [Abstract][Full Text] [Related]  

  • 15. HT-Net: A Hybrid Transformer Network for Fundus Vessel Segmentation.
    Hu X; Wang L; Li Y
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146132
    [TBL] [Abstract][Full Text] [Related]  

  • 16. G2ViT: Graph Neural Network-Guided Vision Transformer Enhanced Network for retinal vessel and coronary angiograph segmentation.
    Xu H; Wu Y
    Neural Netw; 2024 Aug; 176():106356. PubMed ID: 38723311
    [TBL] [Abstract][Full Text] [Related]  

  • 17. RFARN: Retinal vessel segmentation based on reverse fusion attention residual network.
    Liu W; Jiang Y; Zhang J; Ma Z
    PLoS One; 2021; 16(12):e0257256. PubMed ID: 34860847
    [TBL] [Abstract][Full Text] [Related]  

  • 18. BSEResU-Net: An attention-based before-activation residual U-Net for retinal vessel segmentation.
    Li D; Rahardja S
    Comput Methods Programs Biomed; 2021 Jun; 205():106070. PubMed ID: 33857703
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A High-Resolution Network with Strip Attention for Retinal Vessel Segmentation.
    Ye Z; Liu Y; Jing T; He Z; Zhou L
    Sensors (Basel); 2023 Nov; 23(21):. PubMed ID: 37960597
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Scale-space approximated convolutional neural networks for retinal vessel segmentation.
    Noh KJ; Park SJ; Lee S
    Comput Methods Programs Biomed; 2019 Sep; 178():237-246. PubMed ID: 31416552
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.