Work

Comparison of machine learning and traditional classifiers in glaucoma diagnosis

Year: 2002

Type: article

Source: IEEE Transactions on Biomedical Engineering

DOI: 10.1109/tbme.2002.802012

Authors: Kwokleung Chan, Te-Won Lee, P.A. Sample, M.H. Goldbaum, R.N. Weinreb, T.J. Sejnowski

Institutions: University of California San Diego, Salk Institute for Biological Studies

Language: English

Topic: Glaucoma and retinal disorders

Subfield: Ophthalmology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Hong Kong University of Science and Technology, University of California, San Diego, National Eye Institute

Awards: Diagnostic Innovations in Glaucoma Study: Visual Function, G2250701343, G7237202627, STRUCTURED ANALYSIS OF THE RETINA (STARE)

OpenAlex ID: W2133671386

FWCI: 9.091

Cites: 88

Cited by: 226

Related to: 10