Retinal image segmentation algorithm based on hybrid pooling and multi-dimensional attention

Dequn Zhao; Chunsheng Li; Hongwei Ma; Suming Zhang

doi:10.1117/12.3034248

13 June 2024 Retinal image segmentation algorithm based on hybrid pooling and multi-dimensional attention

Dequn Zhao, Chunsheng Li, Hongwei Ma, Suming Zhang

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131800J (2024) https://doi.org/10.1117/12.3034248
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

This paper propose a retinal image segmentation model according to hybrid pooling and multi-scale attention mechanism. Due to the crucial importance of retinal vessels for the segmentation of the retina and their intricate structure, which serves as vital diagnostic information for diseases, we focus on retinal images in medical imaging. We introduce a novel medical image segmentation model, MDA-Unet, built upon the Unet architecture. Extensive experiments are conducted on the DRIVE dataset. Addressing challenges such as limited data, varying image quality, and the presence of small structures in segmented target areas causing reduced segmentation accuracy, the proposed enhanced model MDA-Unet aims to overcome these issues. We investigate the impact of incorporating modules such as Exponential Moving Average (EMA), Multi-Path Module (MPM), and serpentine convolutional kernels on the model. The research results indicate that the addition of these modules enhances the ability of the model to be segmented. This improved model is tested with the DRIVE dataset, yielding segmentation results that surpass those of previously proposed segmentation models. Compared with the previous model segmentation results, the method proposed in this paper has achieved good results in fundus vascular segmentation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dequn Zhao, Chunsheng Li, Hongwei Ma, and Suming Zhang "Retinal image segmentation algorithm based on hybrid pooling and multi-dimensional attention", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131800J (13 June 2024); https://doi.org/10.1117/12.3034248

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KEYWORDS

Image segmentation

Convolution

Blood vessels

Systems modeling

Data modeling

Image processing algorithms and systems

Education and training

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