Work

Comparison of the performance of a Machine-to-Machine (M2M) deep learning algorithm versus human graders for glaucoma screening in teleretinal fundus images

Year: 2020

Type: article

Source: Investigative Ophthalmology & Visual Science

Authors: Delaram Mirzania, Atalie C. Thompson, Eduardo B. Mariottoni, Leonardo Shigueoka, Kelly W. Muir, Felipe A. Medeiros

Institutions: Duke University, Duke Medical Center, Duke University Hospital, Durham VA Medical Center

Language: English

Topic: Retinal Imaging and Analysis

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $1,850

OpenAlex ID: W3179713550

FWCI:

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