Automatic detection and recognition of multiple macular lesions in retinal optical coherence tomography images with multi-instance multilabel learning-Reference-Cited by-同舟云学术

Automatic detection and recognition of multiple macular lesions in retinal optical coherence tomography images with multi-instance multilabel learning

Published:2017-06-23 Issue:6 Volume:22 Page:066014
ISSN:1083-3668
Container-title:Journal of Biomedical Optics
language:en
Short-container-title:J. Biomed. Opt

Author:

Fang Leyuan¹,Yang Liumao¹,Li Shutao¹,Rabbani Hossein²,Liu Zhimin³,Peng Qinghua³,Chen Xiangdong³

Affiliation:

1. Hunan University, College of Electrical and Information Engineering, Changsha, Hunan, China

2. Isfahan University of Medical Sciences, Medical Image and Signal Processing Research Center, Isfahan, Iran

3. The First Affiliated Hospital of Hunan University of Chinese Medicine, Department of Ophthalmology, Changsha, Hunan, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Biomaterials,Electronic, Optical and Magnetic Materials

Reference43 articles.

1. Age-related macular degeneration

2. Diabetic retinopathy

3. Optical coherence tomography to detect and manage retinal disease and glaucoma

4. Microcystic macular edema detection in retina OCT images

5. Detection and classification of retinal lesions for grading of diabetic retinopathy

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