GCN-assisted attention-guided UNet for automated retinal OCT segmentation

Author:

Oh Dongsuk,Moon JonghyeonORCID,Park KyoungtaeORCID,Kim WonjunORCID,Yoo SeunghoORCID,Lee Hyungwoo,Yoo JihoORCID

Funder

Konkuk University Medical Center

Publisher

Elsevier BV

Reference29 articles.

1. RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge;Bogunović;IEEE Transactions on Medical Imaging,2019

2. PDAtt-unet: Pyramid dual-decoder attention unet for Covid-19 infection segmentation from CT-scans;Bougourzi;Medical Image Analysis,2023

3. Ma-unet: An improved version of unet based on multi-scale and attention mechanism for medical image segmentation;Cai,2022

4. Transattunet: Multi-level attention-guided u-net with transformer for medical image segmentation;Chen,2021

5. Chen, Y., Rohrbach, M., Yan, Z., Shuicheng, Y., Feng, J., & Kalantidis, Y. (2019). Graph-based global reasoning networks. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 433–442).

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