Redundancy reduced depthwise separable convolution for glaucoma classification using OCT images

A. P. Sunija; Varun P. Gopi; P. Palanisamy

doi:10.1016/j.bspc.2021.103192

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Redundancy reduced depthwise separable convolution for glaucoma classification using OCT images

A. P. Sunija Varun P. Gopi P. Palanisamy

Year: 2021 Journal: Biomedical Signal Processing and Control Vol: 71 Pages: 103192-103192 Publisher: Elsevier BV

DOI: 10.1016/j.bspc.2021.103192

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Keywords:

Glaucoma Computer science Separable space Convolution (computer science) Artificial intelligence Pattern recognition (psychology) Hyperparameter Optic nerve Kernel (algebra) Segmentation Mathematics Medicine Artificial neural network Ophthalmology

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Topics

Retinal Imaging and Analysis

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Glaucoma and retinal disorders

Health Sciences → Medicine → Ophthalmology

Optical Coherence Tomography Applications

Physical Sciences → Engineering → Biomedical Engineering

Redundancy reduced depthwise separable convolution for glaucoma classification using OCT images

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