Deep-learning-aided diabetic retinopathy diagnosis based on structural and angiographic optical coherence tomography
Zang, Pengxiao
2023

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Abstract

A multi-module diabetic retinopathy diagnostic system based on structural and angiographic optical coherence tomography using deep learning.

Details

Title Deep-learning-aided diabetic retinopathy diagnosis based on structural and angiographic optical coherence tomography
Creator Zang, Pengxiao : Oregon Health and Science University
Contributor Jia, Yali Mentor (Oregon Health and Science University)
Chang, Young Hwan Committee chair (Oregon Health and Science University)
Hwang, Thomas S. Committee member (Oregon Health and Science University)
Huang, David Committee member (Oregon Health and Science University)
Hribar, Michelle R. Committee member (Oregon Health and Science University)
Publisher Oregon Health and Science University
Date 2023-12-15
Subjects
Keywords
Geographical Subject Oregon
DOI https://doi.org/10.6083/bpxhc42386
Language English
Content Type Dissertation
Degree Type Ph.D.
Academic Program Biomedical Engineering
Department Casey Eye Institute
School School of Medicine
Copyright Status
Usage Statement
Record ID 42386
Record Created 2023-12-15
Record Appears in OHSU Works > Student Work > Academic Programs > School of Medicine Programs > Biomedical Engineering
OHSU Works > Student Work > Degrees > Doctor of Philosophy (Ph.D.)
Organizations > Centers and Institutes > Casey Eye Institute
Organizations > Schools > School of Medicine
OHSU Works > Student Work > Dissertations
Theses and Dissertations
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