Segmentation of common lesions in age-related macular degeneration based on boundary attention mechanism

Chengjian Hong; Yuanyuan Peng; Weifang Zhu; Dehui Xiang; Fei Shi; Baoqing Nie; Xinjian Chen

doi:10.1117/12.2653863

3 April 2023 Segmentation of common lesions in age-related macular degeneration based on boundary attention mechanism

Chengjian Hong, Yuanyuan Peng, Weifang Zhu, Dehui Xiang, Fei Shi, Baoqing Nie, Xinjian Chen

Proceedings Volume 12464, Medical Imaging 2023: Image Processing; 124643U (2023) https://doi.org/10.1117/12.2653863
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

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Abstract

Age-related macular degeneration (AMD) is a common ophthalmic disease, mainly occurring in the elderly. After the occurrence of pigment epithelial detachment (PED), neuroepithelial detachment and subretinal fluid (SRF) are further caused, and patients need follow-up treatment. Quantitative analysis of these two symptoms is very important for clinical diagnosis. Therefore, we propose a new joint segmentation network to accurately segment PED and SRF in this paper. Our main contributions are: (1) a new multi-scale information selection module is proposed. (2) based on the U-shape network, a novel decoder branch is proposed to obtain boundary information, which is critical to segmentation. The experimental results show that our method achieves 72.97% for the average dice (DSC), 79.92% for the average recall, and 67.11% for the average intersection over union (IOU).

Citation Download Citation

Chengjian Hong, Yuanyuan Peng, Weifang Zhu, Dehui Xiang, Fei Shi, Baoqing Nie, and Xinjian Chen "Segmentation of common lesions in age-related macular degeneration based on boundary attention mechanism", Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 124643U (3 April 2023); https://doi.org/10.1117/12.2653863

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