Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Background Glaucoma is the leading cause of irreversible blindness worldwide. It is a heterogeneous group of conditions with a common optic neuropathy and associated loss of peripheral vision. Both over and under-diagnosis carry high costs in terms of healthcare spending and preventable blindness. T...
Main Author: | Brown, Emery Neal |
---|---|
Other Authors: | Massachusetts Institute of Technology. Institute for Medical Engineering & Science |
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2020
|
Online Access: | https://hdl.handle.net/1721.1/126702 |
Similar Items
-
Optical Coherence Tomography Angiography of Optic Disc Perfusion in Glaucoma
by: Jia, Yali, et al.
Published: (2015) -
Glaucoma feature detection to aid clinical diagnosis
by: How, Cheryn Xue Lin
Published: (2014) -
Automatic glaucoma diagnosis through medical imaging informatics
by: Liu, Jiang, et al.
Published: (2016) -
Spatial variation in automated burst suppression detection in pharmacologically induced coma
by: Jonnalagadda, Durga, et al.
Published: (2017) -
Optic cup and optic disc segmentation using improved selfish gene algorithm / Norharyati Md Ariff
by: Md Ariff, Norharyati
Published: (2016)