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04-23-2015, 07:40 PM
Eyenuk EyeArt Software Automatically Screens Fundus Images for Signs of Diabetic Reti**pathy
http://www.medgadget.com/wp-content/uploads/2015/04/eyeart-lesion-detection.jpg
Eyenuk, a Woodland Hills, California company, won the European CE mark for its EyeArt software that analyzes images of the retina taken using fundus cameras to help detect diabetic reti**pathy (DR). The software requires **thing more than a well produced color retinal image and has shown a sensitivity of detecting DR often better than human professionals.
EyeArt is able to process entire batches of images, going through thousands in a matter of hours. This may allow entire populations to be screened for DR, hopefully saving many eyes and improving lives.
More about the tech**logy*according to Eyenuk:
EyeArt’s image analysis algorithms represent cutting-edge of research in image processing, computer vision, and machine learning. Tech**logical in**vations like morphology-inspired filter bank descriptors can automatically analyze fundus images to detect and localize lesions resulting from diabetic reti**pathy.
Product page: EyeArt… (http://www.eyenuk.com/eyeart.html)
Press release: Eyenuk, Inc. granted CE marking for EyeArt… (http://www.eyenuk.com/blog.html#EyeArtCE)
The post Eyenuk EyeArt Software Automatically Screens Fundus Images for Signs of Diabetic Reti**pathy (http://www.medgadget.com/2015/04/eyenuk-eyeart-software-automatically-screens-fundus-images-for-signs-of-diabetic-reti**pathy.html) appeared first on Medgadget (http://www.medgadget.com).
http://feeds.feedburner.com/~ff/Medgadget?d=yIl2AUoC8zA (http://feeds.feedburner.com/~ff/Medgadget?a=X3ctR3J6_NQ:374NisP6lkk:yIl2AUoC8zA) http://feeds.feedburner.com/~ff/Medgadget?d=qj6IDK7rITs (http://feeds.feedburner.com/~ff/Medgadget?a=X3ctR3J6_NQ:374NisP6lkk:qj6IDK7rITs) http://feeds.feedburner.com/~ff/Medgadget?i=X3ctR3J6_NQ:374NisP6lkk:gIN9vFwOqvQ (http://feeds.feedburner.com/~ff/Medgadget?a=X3ctR3J6_NQ:374NisP6lkk:gIN9vFwOqvQ)
http://feeds.feedburner.com/~r/Medgadget/~4/X3ctR3J6_NQ
http://www.medgadget.com/wp-content/uploads/2015/04/eyeart-lesion-detection.jpg
Eyenuk, a Woodland Hills, California company, won the European CE mark for its EyeArt software that analyzes images of the retina taken using fundus cameras to help detect diabetic reti**pathy (DR). The software requires **thing more than a well produced color retinal image and has shown a sensitivity of detecting DR often better than human professionals.
EyeArt is able to process entire batches of images, going through thousands in a matter of hours. This may allow entire populations to be screened for DR, hopefully saving many eyes and improving lives.
More about the tech**logy*according to Eyenuk:
EyeArt’s image analysis algorithms represent cutting-edge of research in image processing, computer vision, and machine learning. Tech**logical in**vations like morphology-inspired filter bank descriptors can automatically analyze fundus images to detect and localize lesions resulting from diabetic reti**pathy.
Product page: EyeArt… (http://www.eyenuk.com/eyeart.html)
Press release: Eyenuk, Inc. granted CE marking for EyeArt… (http://www.eyenuk.com/blog.html#EyeArtCE)
The post Eyenuk EyeArt Software Automatically Screens Fundus Images for Signs of Diabetic Reti**pathy (http://www.medgadget.com/2015/04/eyenuk-eyeart-software-automatically-screens-fundus-images-for-signs-of-diabetic-reti**pathy.html) appeared first on Medgadget (http://www.medgadget.com).
http://feeds.feedburner.com/~ff/Medgadget?d=yIl2AUoC8zA (http://feeds.feedburner.com/~ff/Medgadget?a=X3ctR3J6_NQ:374NisP6lkk:yIl2AUoC8zA) http://feeds.feedburner.com/~ff/Medgadget?d=qj6IDK7rITs (http://feeds.feedburner.com/~ff/Medgadget?a=X3ctR3J6_NQ:374NisP6lkk:qj6IDK7rITs) http://feeds.feedburner.com/~ff/Medgadget?i=X3ctR3J6_NQ:374NisP6lkk:gIN9vFwOqvQ (http://feeds.feedburner.com/~ff/Medgadget?a=X3ctR3J6_NQ:374NisP6lkk:gIN9vFwOqvQ)
http://feeds.feedburner.com/~r/Medgadget/~4/X3ctR3J6_NQ