344 related articles for article (PubMed ID: 34577384)
1. 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]
2. 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]
3. MAG-Net : Multi-fusion network with grouped attention for retinal vessel segmentation.
Jiang Y; Chen J; Yan W; Zhang Z; Qiao H; Wang M
Math Biosci Eng; 2024 Jan; 21(2):1938-1958. PubMed ID: 38454669
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
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. 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]
9. DilUnet: A U-net based architecture for blood vessels segmentation.
Hussain S; Guo F; Li W; Shen Z
Comput Methods Programs Biomed; 2022 May; 218():106732. PubMed ID: 35279601
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. MIC-Net: multi-scale integrated context network for automatic retinal vessel segmentation in fundus image.
Wang J; Zhou L; Yuan Z; Wang H; Shi C
Math Biosci Eng; 2023 Feb; 20(4):6912-6931. PubMed ID: 37161134
[TBL] [Abstract][Full Text] [Related]
14. NFN＋: A novel network followed network for retinal vessel segmentation.
Wu Y; Xia Y; Song Y; Zhang Y; Cai W
Neural Netw; 2020 Jun; 126():153-162. PubMed ID: 32222424
[TBL] [Abstract][Full Text] [Related]
15. Feature-guided attention network for medical image segmentation.
Zhou H; Sun C; Huang H; Fan M; Yang X; Zhou L
Med Phys; 2023 Aug; 50(8):4871-4886. PubMed ID: 36746870
[TBL] [Abstract][Full Text] [Related]
16. Development of automatic retinal vessel segmentation method in fundus images via convolutional neural networks.
Joonyoung Song ; Boreom Lee
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():681-684. PubMed ID: 29059964
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. PCAT-UNet: UNet-like network fused convolution and transformer for retinal vessel segmentation.
Chen D; Yang W; Wang L; Tan S; Lin J; Bu W
PLoS One; 2022; 17(1):e0262689. PubMed ID: 35073371
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images.
Hassan M; Ali S; Kim JY; Saadia A; Sanaullah M; Alquhayz H; Safdar K
Interdiscip Sci; 2023 Jun; 15(2):273-292. PubMed ID: 36611082
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
