Deep learning with adaptive convolutions for classification of retinal diseases via optical coherence tomography

K. Karthik; Manjunatha Mahadevappa

doi:10.1016/j.imavis.2024.105044

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Deep learning with adaptive convolutions for classification of retinal diseases via optical coherence tomography

K. Karthik Manjunatha Mahadevappa

Year: 2024 Journal: Image and Vision Computing Vol: 146 Pages: 105044-105044 Publisher: Elsevier BV

DOI: 10.1016/j.imavis.2024.105044

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Keywords:

Optical coherence tomography Retinal Computer science Artificial intelligence Adaptive optics Tomography Coherence (philosophical gambling strategy) Deep learning Optometry Pattern recognition (psychology) Optics Physics Medicine Ophthalmology

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143

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Topics

Retinal Imaging and Analysis

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Optical Coherence Tomography Applications

Physical Sciences → Engineering → Biomedical Engineering

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Deep learning with adaptive convolutions for classification of retinal diseases via optical coherence tomography

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Citation History

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