AGLAIA system architecture for glaucoma diagnosis

J. Liu; D. W.K. Wong; N. M. Tan; Z. Zhang; F. Yin; J. Cheng; B. H. Lee; Z. Y. Liang; J. H. Lim; H. Li; T. Y. Wong

AGLAIA system architecture for glaucoma diagnosis

J. Liu, D. W.K. Wong, N. M. Tan, Z. Zhang, F. Yin, J. Cheng, B. H. Lee, Z. Y. Liang, J. H. Lim, H. Li, T. Y. Wong

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

Abstract

The AGLAIA (Automatic GLaucoma Diagnosis and Its Genetic Association Study through Medical Image InformAtics) system architecture is proposed to address the automatic diagnosis of Glaucoma. Instead of using single image feature, AGLAIA measures the characteristics of peripapillary and optic nerve head related to glaucomatous changes based on digital non-stereo retinal (fundus) images and combines those multiple measures of optic nerve damage into a single holistic system. Medical Image Informatics principle is innovatively used to analyze the patient's genetic information and find the possible association between the image features and the glaucoma disease. Innovative medical image processing and understanding algorithms (including medical image segmentation, pattern recognition, filtering, statistical learning etc.) are applied for early detection and monitoring of glaucoma.

Original language	English
Pages	657-661
Number of pages	5
Publication status	Published - 2010
Externally published	Yes
Event	2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010 - Biopolis, Singapore Duration: 14 Dec 2010 → 17 Dec 2010

Conference

Conference	2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010
Country/Territory	Singapore
City	Biopolis
Period	14/12/10 → 17/12/10

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Cite this

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title = "AGLAIA system architecture for glaucoma diagnosis",

abstract = "The AGLAIA (Automatic GLaucoma Diagnosis and Its Genetic Association Study through Medical Image InformAtics) system architecture is proposed to address the automatic diagnosis of Glaucoma. Instead of using single image feature, AGLAIA measures the characteristics of peripapillary and optic nerve head related to glaucomatous changes based on digital non-stereo retinal (fundus) images and combines those multiple measures of optic nerve damage into a single holistic system. Medical Image Informatics principle is innovatively used to analyze the patient's genetic information and find the possible association between the image features and the glaucoma disease. Innovative medical image processing and understanding algorithms (including medical image segmentation, pattern recognition, filtering, statistical learning etc.) are applied for early detection and monitoring of glaucoma.",

author = "J. Liu and Wong, {D. W.K.} and Tan, {N. M.} and Z. Zhang and F. Yin and J. Cheng and Lee, {B. H.} and Liang, {Z. Y.} and Lim, {J. H.} and H. Li and Wong, {T. Y.}",

year = "2010",

language = "English",

pages = "657--661",

note = "2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010 ; Conference date: 14-12-2010 Through 17-12-2010",

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TY - CONF

T1 - AGLAIA system architecture for glaucoma diagnosis

AU - Liu, J.

AU - Wong, D. W.K.

AU - Tan, N. M.

AU - Zhang, Z.

AU - Yin, F.

AU - Cheng, J.

AU - Lee, B. H.

AU - Liang, Z. Y.

AU - Lim, J. H.

AU - Li, H.

AU - Wong, T. Y.

PY - 2010

Y1 - 2010

N2 - The AGLAIA (Automatic GLaucoma Diagnosis and Its Genetic Association Study through Medical Image InformAtics) system architecture is proposed to address the automatic diagnosis of Glaucoma. Instead of using single image feature, AGLAIA measures the characteristics of peripapillary and optic nerve head related to glaucomatous changes based on digital non-stereo retinal (fundus) images and combines those multiple measures of optic nerve damage into a single holistic system. Medical Image Informatics principle is innovatively used to analyze the patient's genetic information and find the possible association between the image features and the glaucoma disease. Innovative medical image processing and understanding algorithms (including medical image segmentation, pattern recognition, filtering, statistical learning etc.) are applied for early detection and monitoring of glaucoma.

AB - The AGLAIA (Automatic GLaucoma Diagnosis and Its Genetic Association Study through Medical Image InformAtics) system architecture is proposed to address the automatic diagnosis of Glaucoma. Instead of using single image feature, AGLAIA measures the characteristics of peripapillary and optic nerve head related to glaucomatous changes based on digital non-stereo retinal (fundus) images and combines those multiple measures of optic nerve damage into a single holistic system. Medical Image Informatics principle is innovatively used to analyze the patient's genetic information and find the possible association between the image features and the glaucoma disease. Innovative medical image processing and understanding algorithms (including medical image segmentation, pattern recognition, filtering, statistical learning etc.) are applied for early detection and monitoring of glaucoma.

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M3 - Paper

AN - SCOPUS:79958087851

SP - 657

EP - 661

T2 - 2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010

Y2 - 14 December 2010 through 17 December 2010

ER -

AGLAIA system architecture for glaucoma diagnosis

Abstract

Conference

ASJC Scopus subject areas

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