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引用次数: 0
摘要
眼底图像中视网膜血管的划分对于检测一系列眼部疾病至关重要。自动血管分割技术可以帮助临床医生提高诊断过程的效率。传统的方法无法提取多尺度信息,丢弃不必要的信息,也无法划分较细的血管。本文提出了一种新颖的残差 U-Net 架构,该架构结合了多尺度特征学习和有效注意力,可精确划分视网膜血管。由于 drop block 正则化在防止过拟合方面比 drop out 表现更好,因此本研究采用了 drop block。为了学习多尺度特征,添加了一个多尺度特征学习模块,而不是跳过连接。提出了一种新的有效注意力模块,并将其与解码器模块集成,以获得精确的空间和信道信息。实验结果表明,所提出的模型在视网膜血管划定方面表现出色。DRIVE、STARE 和 CHASE_DB 数据集的灵敏度分别为 0.8293、0.8151 和 0.8084。
EAMR-Net: A multiscale effective spatial and cross-channel attention network for retinal vessel segmentation.
Delineation of retinal vessels in fundus images is essential for detecting a range of eye disorders. An automated technique for vessel segmentation can assist clinicians and enhance the efficiency of the diagnostic process. Traditional methods fail to extract multiscale information, discard unnecessary information, and delineate thin vessels. In this paper, a novel residual U-Net architecture that incorporates multi-scale feature learning and effective attention is proposed to delineate the retinal vessels precisely. Since drop block regularization performs better than drop out in preventing overfitting, drop block was used in this study. A multi-scale feature learning module was added instead of a skip connection to learn multi-scale features. A novel effective attention block was proposed and integrated with the decoder block to obtain precise spatial and channel information. Experimental findings indicated that the proposed model exhibited outstanding performance in retinal vessel delineation. The sensitivities achieved for DRIVE, STARE, and CHASE_DB datasets were 0.8293, 0.8151 and 0.8084, respectively.
期刊介绍:
Mathematical Biosciences and Engineering (MBE) is an interdisciplinary Open Access journal promoting cutting-edge research, technology transfer and knowledge translation about complex data and information processing.
MBE publishes Research articles (long and original research); Communications (short and novel research); Expository papers; Technology Transfer and Knowledge Translation reports (description of new technologies and products); Announcements and Industrial Progress and News (announcements and even advertisement, including major conferences).