316 related articles for article (PubMed ID: 31416552)
1. 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]
2. A novel retinal vessel detection approach based on multiple deep convolution neural networks.
Guo Y; Budak Ü; Şengür A
Comput Methods Programs Biomed; 2018 Dec; 167():43-48. PubMed ID: 30501859
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. DISCERN: Generative Framework for Vessel Segmentation using Convolutional Neural Network and Visual Codebook.
Chudzik P; Al-Diri B; Caliva F; Hunter A
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5934-5937. PubMed ID: 30441687
[TBL] [Abstract][Full Text] [Related]
5. "Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging.
Fu W; Breininger K; Schaffert R; Pan Z; Maier A
Int J Comput Assist Radiol Surg; 2021 Jun; 16(6):967-978. PubMed ID: 33929676
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Retinal blood vessel segmentation using fully convolutional network with transfer learning.
Jiang Z; Zhang H; Wang Y; Ko SB
Comput Med Imaging Graph; 2018 Sep; 68():1-15. PubMed ID: 29775951
[TBL] [Abstract][Full Text] [Related]
8. Segmenting retinal vessels with revised top-bottom-hat transformation and flattening of minimum circumscribed ellipse.
Wang W; Wang W; Hu Z
Med Biol Eng Comput; 2019 Jul; 57(7):1481-1496. PubMed ID: 30903529
[TBL] [Abstract][Full Text] [Related]
9. Joint segmentation and classification of retinal arteries/veins from fundus images.
Girard F; Kavalec C; Cheriet F
Artif Intell Med; 2019 Mar; 94():96-109. PubMed ID: 30871687
[TBL] [Abstract][Full Text] [Related]
10. Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement.
Zhou L; Yu Q; Xu X; Gu Y; Yang J
Comput Methods Programs Biomed; 2017 Sep; 148():13-25. PubMed ID: 28774435
[TBL] [Abstract][Full Text] [Related]
11. Multi-level deep supervised networks for retinal vessel segmentation.
Mo J; Zhang L
Int J Comput Assist Radiol Surg; 2017 Dec; 12(12):2181-2193. PubMed ID: 28577175
[TBL] [Abstract][Full Text] [Related]
12. Iterative Vessel Segmentation of Fundus Images.
Roychowdhury S; Koozekanani DD; Parhi KK
IEEE Trans Biomed Eng; 2015 Jul; 62(7):1738-49. PubMed ID: 25700436
[TBL] [Abstract][Full Text] [Related]
13. Sensitivity of Cross-Trained Deep CNNs for Retinal Vessel Extraction.
Kassim YM; Maude RJ; Palaniappan K
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2736-2739. PubMed ID: 30440967
[TBL] [Abstract][Full Text] [Related]
14. Contrast Enhancement of RGB Retinal Fundus Images for Improved Segmentation of Blood Vessels Using Convolutional Neural Networks.
Sule O; Viriri S
J Digit Imaging; 2023 Apr; 36(2):414-432. PubMed ID: 36456839
[TBL] [Abstract][Full Text] [Related]
15. Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks.
Son J; Park SJ; Jung KH
J Digit Imaging; 2019 Jun; 32(3):499-512. PubMed ID: 30291477
[TBL] [Abstract][Full Text] [Related]
16. A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation.
Yan Z; Yang X; Cheng KT
IEEE J Biomed Health Inform; 2019 Jul; 23(4):1427-1436. PubMed ID: 30281503
[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. Supervised retinal vessel segmentation from color fundus images based on matched filtering and AdaBoost classifier.
Memari N; Ramli AR; Bin Saripan MI; Mashohor S; Moghbel M
PLoS One; 2017; 12(12):e0188939. PubMed ID: 29228036
[TBL] [Abstract][Full Text] [Related]
19. Recent Advancements in Retinal Vessel Segmentation.
L Srinidhi C; Aparna P; Rajan J
J Med Syst; 2017 Apr; 41(4):70. PubMed ID: 28285460
[TBL] [Abstract][Full Text] [Related]
20. Performance comparison of publicly available retinal blood vessel segmentation methods.
Vostatek P; Claridge E; Uusitalo H; Hauta-Kasari M; Fält P; Lensu L
Comput Med Imaging Graph; 2017 Jan; 55():2-12. PubMed ID: 27515743
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]