Computer-aided detection and quantification in glistenings on intra-ocular lenses

Computer-aided detection and quantification in glistenings on intra-ocular lenses The artificial intraocular lens (IOL) is inserted to replaced the crystalline lens of the human eye after cataract surgery or refraction clear lens extraction. When the IOL, is in an aquatic environment, glistenings, which are liquid-filled microvacuoles, can be discriminated from normal state. Automatic detection of glistenings is a new problem, they have tiny sizes, sometimes have low contrast and also similar with the lens background. In this paper, the candidate glistenings are automatically detected by mathematic morphology method and fine segmented using the classifiers, we used k-nearest neighbor (kNN) and Naïve Bayes for comparing the results. The detected glistenings are validated by object-based with ophthalmologists hand-drawn ground-truth. The result shows that classification can improve the performance of glistenings detection better than using only morphology method. The proposed software was developed for creating an effective automatic glistenings detection and quantification with a user-friendly Graphical User Interface,reliable results. Thus this computer-aid tool will help the researcher analyze the experiment results to better understand glistenings characteristic that have an effect on vary conditions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Computer-aided detection and quantification in glistenings on intra-ocular lenses

Loading next page...
 
/lp/springer_journal/computer-aided-detection-and-quantification-in-glistenings-on-intra-VNgMm6WVjq
Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media New York
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-017-4474-7
Publisher site
See Article on Publisher Site

Abstract

The artificial intraocular lens (IOL) is inserted to replaced the crystalline lens of the human eye after cataract surgery or refraction clear lens extraction. When the IOL, is in an aquatic environment, glistenings, which are liquid-filled microvacuoles, can be discriminated from normal state. Automatic detection of glistenings is a new problem, they have tiny sizes, sometimes have low contrast and also similar with the lens background. In this paper, the candidate glistenings are automatically detected by mathematic morphology method and fine segmented using the classifiers, we used k-nearest neighbor (kNN) and Naïve Bayes for comparing the results. The detected glistenings are validated by object-based with ophthalmologists hand-drawn ground-truth. The result shows that classification can improve the performance of glistenings detection better than using only morphology method. The proposed software was developed for creating an effective automatic glistenings detection and quantification with a user-friendly Graphical User Interface,reliable results. Thus this computer-aid tool will help the researcher analyze the experiment results to better understand glistenings characteristic that have an effect on vary conditions.

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: Feb 14, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off