Q3D: a device to quantitatively measure visual suppression

Carl Bassi; Michael Howe; Wayne Garver

Q3D: a device to quantitatively measure visual suppression

Carl Bassi, Michael Howe, Wayne Garver

University of Missouri-St. Louis

Research output: Contribution to conference › Presentation

Original language	American English
State	Published - Oct 1 2010

Disciplines

Psychology
Artificial Intelligence and Robotics

Cite this

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title = "Q3D: a device to quantitatively measure visual suppression",

author = "Carl Bassi and Michael Howe and Wayne Garver",

note = "Vision disorders are the 4th most prevalent class of disability in the United States and the most prevalent handicapping condition in childhood. Early detection of visual suppression increases the likelihood of effective treatment and decreases the negative impact of conditions such as amblyopia, which affects 2-3\% of children and is the most common cause of monocular visual impairments in young and middle-aged adults.",

year = "2010",

month = oct,

day = "1",

language = "American English",

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TY - CONF

T1 - Q3D: a device to quantitatively measure visual suppression

AU - Bassi, Carl

AU - Howe, Michael

AU - Garver, Wayne

N1 - Vision disorders are the 4th most prevalent class of disability in the United States and the most prevalent handicapping condition in childhood. Early detection of visual suppression increases the likelihood of effective treatment and decreases the negative impact of conditions such as amblyopia, which affects 2-3% of children and is the most common cause of monocular visual impairments in young and middle-aged adults.

PY - 2010/10/1

Y1 - 2010/10/1

UR - https://mospace.umsystem.edu/xmlui/handle/10355/9776

M3 - Presentation

ER -

Q3D: a device to quantitatively measure visual suppression

Disciplines

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