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Automatic Classification of Retinal Optical Coherence Tomography Images With Layer Guided Convolutional Neural Network

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成果类型:
期刊论文
作者:
Huang, Laifeng;He, Xingxin;Fang, Leyuan;Rabbani, Hossein;Chen, Xiangdong
通讯作者:
Fang, LY
作者机构:
[He, Xingxin; Huang, Laifeng; Fang, Leyuan] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China.
[Rabbani, Hossein] Isfahan Univ Med Sci, Med Image & Signal Proc Res Ctr, Esfahan 81745319, Iran.
[Chen, Xiangdong] Hunan Univ Chinese Med, Dept Ophthalmol, Hosp 1, Changsha 410082, Hunan, Peoples R China.
通讯机构:
[Fang, LY ] H
Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China.
语种:
英文
关键词:
Optical coherence tomography (OCT);convolutional neural network (CNN);OCT classification
期刊:
IEEE Signal Processing Letters
ISSN:
1070-9908
年:
2019
卷:
26
期:
7
页码:
1026-1030
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61771192) National Natural Science Foundation for Young Scientist of China (Grant Number: 61501180) 10.13039/501100002858-China Postdoctoral Science Foundation (Grant Number: 2017T100597) National Natural Science Foundation of Hunan Province (Grant Number: 2018JJ3077)
机构署名:
本校为其他机构
院系归属:
第一中医临床学院
摘要:
Optical coherence tomography (OCT) enables instant and direct imaging of morphological retinal tissue and has become an essential imaging modality for ophthalmology diagnosis. As one of the important morphological retinal characteristics, the structural information of retinal layers provides meaningful diagnostic information and is closely related to several retinal diseases. In this letter, we propose a novel layer guided convolutional neural network (LGCNN) to identify normal retina and three common types of macular pathologies, namely, diabe...

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