Automated retinal imaging and trend analysis – a tool for health monitoring
Karin Roesch, Tristan Swedish, Ramesh Raskar MIT Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA Abstract: Most current diagnostic devices are expensive, require trained specialists to operate and gather static images with sparse data points. This leads to preventable diseases...
Saved in:
Main Authors: | Roesch K, Swedish T, Raskar R |
---|---|
Format: | article |
Language: | EN |
Published: |
Dove Medical Press
2017
|
Subjects: | |
Online Access: | https://doaj.org/article/91c6df8a45c441c5a63e671eea5b0b6f |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma
by: Zapata MA, et al.
Published: (2020) -
Glaucoma related retinal oximetry: a technology update
by: Yap ZL, et al.
Published: (2018) -
Inter-eye comparison of retinal oximetry and vessel caliber between eyes with asymmetrical glaucoma severity in different glaucoma subtypes
by: Cheng CS, et al.
Published: (2016) -
Adaptive optics scanning laser ophthalmoscope imaging: technology update
by: Merino D, et al.
Published: (2016) -
Increasing trend in rhegmatogenous retinal detachment in Korea from 2004 to 2015
by: Jun Young Park, et al.
Published: (2021)