Deep Learning-Based Automated Classification of Multi-Categorical Abnormalities From Optical Coherence Tomography Images | Zendy

Wei Lü | Zendy; Yan Tong | Zendy; Yue Yu | Zendy; Yiqiao Xing | Zendy; Changzheng Chen | Zendy; Yin Shen | Zendy

Open Access

Deep Learning-Based Automated Classification of Multi-Categorical Abnormalities From Optical Coherence Tomography Images

Author(s) -

Wei Lü,

Yan Tong,

Yue Yu,

Yiqiao Xing,

Changzheng Chen,

Yin Shen

Publication year - 2018

Publication title -

translational vision science and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.508

H-Index - 21

ISSN - 2164-2591

DOI - 10.1167/tvst.7.6.41

Subject(s) - optical coherence tomography , artificial intelligence , computer science , epiretinal membrane , macular edema , convolutional neural network , deep learning , receiver operating characteristic , kappa , categorization , pattern recognition (psychology) , retinal , ophthalmology , medicine , machine learning , vitrectomy , mathematics , geometry , visual acuity

This intelligent system has great value in increasing retinal diseases' diagnostic efficiency in clinical circumstances.

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