MDAN-UNet: Multi-Scale and Dual Attention Enhanced Nested U-Net Architecture for Segmentation of Optical Coherence Tomography Images

MDAN-UNet: Multi-Scale and Dual Attention Enhanced Nested U-Net Architecture for Segmentation of Optical Coherence Tomography Images

Optical coherence tomography (OCT) is an optical high-resolution imaging technique for ophthalmic diagnosis. In this paper, we take advantages of multi-scale input, multi-scale side output and dual attention mechanism and present an enhanced nested U-Net architecture (MDAN-UNet), a new powerful full...

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Bibliographic Details
Main Authors: Wen Liu, Yankui Sun, Qingge Ji
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Algorithms
Subjects:
optical coherence tomography
fully convolutional network
layer segmentation
fluid segmentation
Online Access:https://www.mdpi.com/1999-4893/13/3/60

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