Laser Journal, Volume. 45, Issue 4, 216(2024)
Retinal vascular segmentation based on local feature enhancement
[1] [1] Ting D S W, Wong T Y. Eyeing cardiovascular risk factors[J]. Nature Biomedical Engineer, 2018, 2(3): 140-141.
[2] [2] Srinidhi C, Aparna P, Rajan J. Recent advancements in retinal vessel segmentation[J]. Journal of Medical Systems, 2017, 41(4): 1-22.
[4] [4] Fraz M M, Remagnino P, Hoppe A, et al. Blood vessel segmentation methodologies in retinal images-a survey[J]. Computer Methods and Programs in Biomedicine, 2012, 108(1): 407-433.
[5] [5] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segm-entation[J]. IEEE Transactions on Pattern Analys-is and Machine Intelligence, 2015, 39(4): 640-651.
[6] [6] Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation[C]//18th International Conf-erence on Medical Image Computing and Comp-uter-Assisted Intervention, October 5-9, 2015, Munich, Germany. Berlin: Springer, 2015: 234-241.
[7] [7] Sathananthavathi V, Indumathi G. Encoder Enhanced Atrous (EEA) U-Net architecture for Re-tinal Blood vessel segmentation[J]. Cognitive Systems Research. 2021, 67: 84-95.
[9] [9] Wang Q, Wu B, Zhu P, et al. ECA-Net: Efficient Channel Attention for Deep Convolu - tional Neural Networks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2020:11531-11539.
[10] [10] Sun K X, Xin Y L, Ma Y D, et al. ASU-Net: U-shape Adaptive Scale Network for Mass Segmentation in Mammograms[J]. Journal of Intelligent and Fuzzy Systems, 2021(6): 1-16.
[11] [11] Rahman M M, Marculescu R. Medical Image Segmentation via Cascaded Attention Decoding[C]//Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2023: 6222-6231.
[12] [12] Guo J, Zhou H Y, Wang L, et al. UNet-2022: Exploring Dynamics in Non-isomorphic Architecture[J]. arXiv preprint arXiv:2210.15566, 2022.
[13] [13] Peng J, Liu Y, Tang S, et al. Pp-liteseg: A superior real-time semantic segmentation model[J]. arXiv preprint arXiv:2204.02681, 2022.
[14] [14] Xu L, Choy C, Li Y W. Deep sparse rectifier neural networks for speech denoising[C]//IEEE International Workshop on Acoustic Signal Enhancemen. 2016: 1-5.
[15] [15] Jin K, Huang X, Zhou J, et al. FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation[J]. Scientific Data, 2022, 9(1): 475.
[16] [16] Mingchao Li et al. Image Projection Network: 3D to 2D Image Segmentation in OCTA Images[J]. IEEE Transactions on Medical Imaging, 2020: 39(11): 3343-3354.
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WANG Qian, XIN Yuelan. Retinal vascular segmentation based on local feature enhancement[J]. Laser Journal, 2024, 45(4): 216
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Received: Oct. 15, 2023
Accepted: Nov. 26, 2024
Published Online: Nov. 26, 2024
The Author Email: XIN Yuelan (xinyue001112@163.com)