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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3CA2EH2
Repositorysid.inpe.br/sibgrapi/2012/07.16.02.24
Last Update2012:07.17.16.47.30 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2012/07.16.02.24.23
Metadata Last Update2022:06.14.00.07.37 (UTC) administrator
DOI10.1109/SIBGRAPI.2012.39
Citation KeyPiresJeliWainRoch:2012:ReImQu
TitleRetinal Image Quality Analysis for Automatic Diabetic Retinopathy Detection
FormatDVD, On-line.
Year2012
Access Date2024, Apr. 28
Number of Files1
Size647 KiB
2. Context
Author1 Pires, Ramon
2 Jelinek, Herbert F.
3 Wainer, Jacques
4 Rocha, Anderson
Affiliation1 University of Campinas, UNICAMP, Campinas, Brazil 
2 Charles Sturt University, CSU, Albury, Australia 
3 University of Campinas, UNICAMP, Campinas, Brazil 
4 University of Campinas, UNICAMP, Campinas, Brazil
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
e-Mail Addresspires.ramon@gmail.com
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto, MG, Brazil
Date22-25 Aug. 2012
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2012-09-20 16:45:34 :: pires.ramon@gmail.com -> administrator :: 2012
2022-03-08 21:03:25 :: administrator -> menottid@gmail.com :: 2012
2022-03-10 13:03:25 :: menottid@gmail.com -> administrator :: 2012
2022-06-14 00:07:37 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsRetinal Quality Assessment
Field Definition
Blur Detection
AbstractSufficient image quality is a necessary prerequisite for reliable automatic detection systems in several healthcare environments. Specifically for Diabetic Retinopathy (DR) detection, poor quality fundus makes more difficult the analysis of discontinuities that characterize lesions, as well as to generate evidence that can incorrectly diagnose the presence of anomalies. Several methods have been applied for classification of image quality and recently, have shown satisfactory results. However, most of the authors have focused only on the visibility of blood vessels through detection of blurring. Furthermore, these studies frequently only used fundus images from specific cameras which are not validated on datasets obtained from different retinographers. In this paper, we propose an approach to verify essential requirements of retinal image quality for DR screening: field definition and blur detection. The methods were developed and validated on two large, representative datasets collected by different cameras. The first dataset comprises 5,776 images and the second, 920 images. For field definition, the method yields a performance close to optimal with an area under the Receiver Operating Characteristic curve (ROC) of 96.0%. For blur detection, the method achieves an area under the ROC curve of 95.5%.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2012 > Retinal Image Quality...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Retinal Image Quality...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3CA2EH2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3CA2EH2
Languageen
Target Filesibgrapi-2012-camera-ready-paper-101896.pdf
User Grouppires.ramon@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SL8GS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.03.31 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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