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.
183 related articles for article (PubMed ID: 35320091)
1. Retinal Vessel Segmentation With Skeletal Prior and Contrastive Loss. Tan Y; Yang KF; Zhao SX; Li YJ IEEE Trans Med Imaging; 2022 Sep; 41(9):2238-2251. PubMed ID: 35320091 [TBL] [Abstract][Full Text] [Related]
2. Hard Attention Net for Automatic Retinal Vessel Segmentation. Wang D; Haytham A; Pottenburgh J; Saeedi O; Tao Y IEEE J Biomed Health Inform; 2020 Dec; 24(12):3384-3396. PubMed ID: 32750941 [TBL] [Abstract][Full Text] [Related]
3. A new robust method for blood vessel segmentation in retinal fundus images based on weighted line detector and hidden Markov model. Zhou C; Zhang X; Chen H Comput Methods Programs Biomed; 2020 Apr; 187():105231. PubMed ID: 31786454 [TBL] [Abstract][Full Text] [Related]
4. A lightweight network guided with differential matched filtering for retinal vessel segmentation. Tan Y; Zhao SX; Yang KF; Li YJ Comput Biol Med; 2023 Jun; 160():106924. PubMed ID: 37146492 [TBL] [Abstract][Full Text] [Related]
5. A retinal vessel segmentation network with multiple-dimension attention and adaptive feature fusion. Li J; Gao G; Yang L; Liu Y Comput Biol Med; 2024 Apr; 172():108315. PubMed ID: 38503093 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Spatial attention U-Net model with Harris hawks optimization for retinal blood vessel and optic disc segmentation in fundus images. Kumar PR; Shilpa B; Jha RK; Chellibouina VS Int Ophthalmol; 2024 Aug; 44(1):359. PubMed ID: 39207645 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Improving sensitivity and connectivity of retinal vessel segmentation via error discrimination network. Lin G; Bai H; Zhao J; Yun Z; Chen Y; Pang S; Feng Q Med Phys; 2022 Jul; 49(7):4494-4507. PubMed ID: 35338781 [TBL] [Abstract][Full Text] [Related]
12. 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]
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. 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]
15. Particle swarm optimization method for small retinal vessels detection on multiresolution fundus images. Khomri B; Christodoulidis A; Djerou L; Babahenini MC; Cheriet F J Biomed Opt; 2018 May; 23(5):1-13. PubMed ID: 29749141 [TBL] [Abstract][Full Text] [Related]
16. High-precision retinal blood vessel segmentation based on a multi-stage and dual-channel deep learning network. Guo H; Meng J; Zhao Y; Zhang H; Dai C Phys Med Biol; 2024 Feb; 69(4):. PubMed ID: 38198716 [No 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. 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]
19. Artery vein classification in fundus images using serially connected U-Nets. Karlsson RA; Hardarson SH Comput Methods Programs Biomed; 2022 Apr; 216():106650. PubMed ID: 35139461 [TBL] [Abstract][Full Text] [Related]
20. Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation. Liu W; Yang H; Tian T; Cao Z; Pan X; Xu W; Jin Y; Gao F IEEE J Biomed Health Inform; 2022 Sep; 26(9):4623-4634. PubMed ID: 35788455 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]