Complex wavelet based quality assessment for AS-OCT images with application to Angle Closure Glaucoma diagnosis-Reference-Cited by-同舟云学术

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Complex wavelet based quality assessment for AS-OCT images with application to Angle Closure Glaucoma diagnosis

Published:2016-07 Issue: Volume:130 Page:13-21
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Niwas Swamidoss Issac,Jakhetiya Vinit,Lin Weisi,Kwoh Chee Keong,Sng Chelvin C.,Aquino Maria Cecilia,Victor Koh,Chew Paul T.K.

Funder

Ministry of Education

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference35 articles.

1. Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study;Eliash;Invest. Ophthalmol. Vis. Sci.,2005

2. Deconstructing the mechanisms of angle closure with anterior segment optical coherence tomography;Liu;Clin. Exp. Ophthalmol.,2011

3. Quantitative evaluation of anterior chamber parameters using anterior segment optical coherence tomography in primary angle closure mechanisms;Shabana;Clin. Exp. Ophthalmol.,2012

4. Angle closure glaucoma: a mechanistic review;Nongpiur;Curr. Opin. Ophthalmol.,2011

5. Perceptual visual quality metrics: a survey;Lin;J. Vis. Commun. Image Represent.,2011

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2. Artificial intelligence and big data integration in anterior segment imaging for glaucoma;Taiwan Journal of Ophthalmology;2024-07

3. An AS-OCT image dataset for deep learning-enabled segmentation and 3D reconstruction for keratitis;Scientific Data;2024-06-13

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5. Automated Image Quality Assessment for Anterior Segment Optical Coherence Tomograph;2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI);2023-04-18

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