Advanced deep learning for blood vessel segmentation in retinal fundus images

L. Ngo, Jae‐Ho Han
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引用次数: 8

Abstract

Rising of deep learning methodologies draws huge attention to their application in image processing and classification. Catching up the trends, this study briefly presents state-of-the-art of deep learning applications in medical imaging interfered with achievements of blood vessel segmentation methods in neurosensory retinal fundus images. Successful segmentation based on deep learning offers advantage in diagnosing ophthalmological disease or pathology.
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基于深度学习的视网膜眼底图像血管分割
深度学习方法的兴起引起了人们对其在图像处理和分类中的应用的极大关注。为了跟上这一趋势,本研究简要介绍了深度学习在医学成像中的最新应用,以及神经感觉视网膜眼底图像中血管分割方法的研究成果。基于深度学习的成功分割为眼科疾病或病理诊断提供了优势。
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