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.
384 related articles for article (PubMed ID: 34252111)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. SFA-Net: Scale and Feature Aggregate Network for Retinal Vessel Segmentation. Ni J; Liu J; Li X; Chen Z J Healthc Eng; 2022; 2022():4695136. PubMed ID: 36312595 [TBL] [Abstract][Full Text] [Related]
8. TLTNet: A novel transscale cascade layered transformer network for enhanced retinal blood vessel segmentation. Wu C; Guo M; Ma M; Wang K Comput Biol Med; 2024 Aug; 178():108773. PubMed ID: 38925090 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. Curv-Net: Curvilinear structure segmentation network based on selective kernel and multi-Bi-ConvLSTM. He Y; Sun H; Yi Y; Chen W; Kong J; Zheng C Med Phys; 2022 May; 49(5):3144-3158. PubMed ID: 35172016 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. DAVS-NET: Dense Aggregation Vessel Segmentation Network for retinal vasculature detection in fundus images. Raza M; Naveed K; Akram A; Salem N; Afaq A; Madni HA; Khan MAU; Din MZ PLoS One; 2021; 16(12):e0261698. PubMed ID: 34972109 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. 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]
18. Do you need sharpened details? Asking MMDC-Net: Multi-layer multi-scale dilated convolution network for retinal vessel segmentation. Zhong X; Zhang H; Li G; Ji D Comput Biol Med; 2022 Nov; 150():106198. PubMed ID: 37859292 [TBL] [Abstract][Full Text] [Related]
19. Gated Skip-Connection Network with Adaptive Upsampling for Retinal Vessel Segmentation. Jiang Y; Yao H; Tao S; Liang J Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577384 [TBL] [Abstract][Full Text] [Related]
20. Densely connected U-Net retinal vessel segmentation algorithm based on multi-scale feature convolution extraction. Du X; Wang J; Sun W Med Phys; 2021 Jul; 48(7):3827-3841. PubMed ID: 34028030 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]