Using machine learning classifiers to identify glaucomatous change earlier in standard visual fields. [electronic resource]
Producer: 20020807Description: 2660-5 p. digitalISSN:- 0146-0404
- Algorithms
- Diagnosis, Computer-Assisted -- methods
- Follow-Up Studies
- Glaucoma -- diagnosis
- Humans
- Intraocular Pressure
- Ocular Hypertension -- diagnosis
- Optic Disk -- pathology
- Optic Nerve Diseases -- diagnosis
- Photography
- Sensitivity and Specificity
- Vision Disorders -- diagnosis
- Visual Field Tests -- methods
- Visual Fields
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Publication Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.
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