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For: Liu Y, Shen J, Yang L, Bian G, Yu H. ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.104087] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Number Cited by Other Article(s)
1
Verma PK, Kaur J. Systematic Review of Retinal Blood Vessels Segmentation Based on AI-driven Technique. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2024;37:1783-1799. [PMID: 38438695 PMCID: PMC11300804 DOI: 10.1007/s10278-024-01010-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 12/07/2023] [Accepted: 12/13/2023] [Indexed: 03/06/2024]
2
Wang Z, Jia LV, Liang H. Partial class activation mapping guided graph convolution cascaded U-Net for retinal vessel segmentation. Comput Biol Med 2024;178:108736. [PMID: 38878402 DOI: 10.1016/j.compbiomed.2024.108736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 05/17/2024] [Accepted: 06/08/2024] [Indexed: 07/24/2024]
3
Bao F, Zhao Y, Zhang X, Zhang Y, Ning Y. SARC-UNet: A coronary artery segmentation method based on spatial attention and residual convolution. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024;255:108353. [PMID: 39096572 DOI: 10.1016/j.cmpb.2024.108353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/18/2024] [Accepted: 07/22/2024] [Indexed: 08/05/2024]
4
Matloob Abbasi M, Iqbal S, Aurangzeb K, Alhussein M, Khan TM. LMBiS-Net: A lightweight bidirectional skip connection based multipath CNN for retinal blood vessel segmentation. Sci Rep 2024;14:15219. [PMID: 38956117 PMCID: PMC11219784 DOI: 10.1038/s41598-024-63496-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 05/29/2024] [Indexed: 07/04/2024]  Open
5
Gao H, Qi M, Du B, Yang S, Li H, Wang T, Zhong W, Tang Y. An accurate semantic segmentation model for bean seedlings and weeds identification based on improved ERFnet. Sci Rep 2024;14:12288. [PMID: 38811674 PMCID: PMC11136954 DOI: 10.1038/s41598-024-61981-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 05/13/2024] [Indexed: 05/31/2024]  Open
6
Li J, Gao G, Yang L, Liu Y. A retinal vessel segmentation network with multiple-dimension attention and adaptive feature fusion. Comput Biol Med 2024;172:108315. [PMID: 38503093 DOI: 10.1016/j.compbiomed.2024.108315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 02/28/2024] [Accepted: 03/12/2024] [Indexed: 03/21/2024]
7
Prethija G, Katiravan J. EAMR-Net: A multiscale effective spatial and cross-channel attention network for retinal vessel segmentation. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2024;21:4742-4761. [PMID: 38549347 DOI: 10.3934/mbe.2024208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
8
Sun K, Chen Y, Dong F, Wu Q, Geng J, Chen Y. Retinal vessel segmentation method based on RSP-SA Unet network. Med Biol Eng Comput 2024;62:605-620. [PMID: 37964177 DOI: 10.1007/s11517-023-02960-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 10/28/2023] [Indexed: 11/16/2023]
9
Bhimavarapu U, Chintalapudi N, Battineni G. Automatic Detection and Classification of Hypertensive Retinopathy with Improved Convolution Neural Network and Improved SVM. Bioengineering (Basel) 2024;11:56. [PMID: 38247933 PMCID: PMC10813404 DOI: 10.3390/bioengineering11010056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/22/2023] [Accepted: 01/01/2024] [Indexed: 01/23/2024]  Open
10
Jiang Y, Chen J, Yan W, Zhang Z, Qiao H, Wang M. MAG-Net : Multi-fusion network with grouped attention for retinal vessel segmentation. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2024;21:1938-1958. [PMID: 38454669 DOI: 10.3934/mbe.2024086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
11
Mahapatra S, Agrawal S, Mishro PK, Panda R, Dora L, Pachori RB. A Review on Retinal Blood Vessel Enhancement and Segmentation Techniques for Color Fundus Photography. Crit Rev Biomed Eng 2024;52:41-69. [PMID: 37938183 DOI: 10.1615/critrevbiomedeng.2023049348] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
12
Li C, Li Z, Liu W. TDCAU-Net: retinal vessel segmentation using transformer dilated convolutional attention-based U-Net method. Phys Med Biol 2023;69:015003. [PMID: 38052089 DOI: 10.1088/1361-6560/ad1273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 12/05/2023] [Indexed: 12/07/2023]
13
Liu R, Pu W, Nan H, Zou Y. Retina image segmentation using the three-path Unet model. Sci Rep 2023;13:22579. [PMID: 38114637 PMCID: PMC10730848 DOI: 10.1038/s41598-023-50141-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 12/15/2023] [Indexed: 12/21/2023]  Open
14
Li P, Qiu Z, Zhan Y, Chen H, Yuan S. Multi-scale Bottleneck Residual Network for Retinal Vessel Segmentation. J Med Syst 2023;47:102. [PMID: 37776409 DOI: 10.1007/s10916-023-01992-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 08/30/2023] [Indexed: 10/02/2023]
15
Pham VN, Le DT, Bum J, Kim SH, Song SJ, Choo H. Discriminative-Region Multi-Label Classification of Ultra-Widefield Fundus Images. Bioengineering (Basel) 2023;10:1048. [PMID: 37760150 PMCID: PMC10525847 DOI: 10.3390/bioengineering10091048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/01/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023]  Open
16
Ryu J, Rehman MU, Nizami IF, Chong KT. SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation. Comput Biol Med 2023;163:107132. [PMID: 37343468 DOI: 10.1016/j.compbiomed.2023.107132] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/12/2023] [Accepted: 06/04/2023] [Indexed: 06/23/2023]
17
Yang L, Zhai C, Liu Y, Yu H. CFHA-Net: A polyp segmentation method with cross-scale fusion strategy and hybrid attention. Comput Biol Med 2023;164:107301. [PMID: 37573723 DOI: 10.1016/j.compbiomed.2023.107301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 07/10/2023] [Accepted: 07/28/2023] [Indexed: 08/15/2023]
18
Lu Y, Wang K, Zhang W, Xie J, Huang S, Yang D, Zhang X. Learning contextual representations with copula function for medical image segmentation. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2023.104900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
19
Zhang H, Qiu Y, Song C, Li J. Landmark-Assisted Anatomy-Sensitive Retinal Vessel Segmentation Network. Diagnostics (Basel) 2023;13:2260. [PMID: 37443654 DOI: 10.3390/diagnostics13132260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/28/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023]  Open
20
Transformer and convolutional based dual branch network for retinal vessel segmentation in OCTA images. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2023.104604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
21
Imran SMA, Saleem MW, Hameed MT, Hussain A, Naqvi RA, Lee SW. Feature preserving mesh network for semantic segmentation of retinal vasculature to support ophthalmic disease analysis. Front Med (Lausanne) 2023;9:1040562. [PMID: 36714120 PMCID: PMC9880050 DOI: 10.3389/fmed.2022.1040562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 12/20/2022] [Indexed: 01/14/2023]  Open
22
Liu Y, Shen J, Yang L, Yu H, Bian G. Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images. Comput Biol Med 2023;152:106341. [PMID: 36463794 DOI: 10.1016/j.compbiomed.2022.106341] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 10/25/2022] [Accepted: 11/16/2022] [Indexed: 11/26/2022]
23
SFA-Net: Scale and Feature Aggregate Network for Retinal Vessel Segmentation. JOURNAL OF HEALTHCARE ENGINEERING 2022;2022:4695136. [PMID: 36312595 PMCID: PMC9616669 DOI: 10.1155/2022/4695136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/22/2022] [Accepted: 10/02/2022] [Indexed: 11/18/2022]
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