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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/45CDN4S
Repositorysid.inpe.br/sibgrapi/2021/09.03.11.28
Last Update2021:09.03.11.28.46 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2021/09.03.11.28.46
Metadata Last Update2022:06.14.00.00.22 (UTC) administrator
DOI10.1109/SIBGRAPI54419.2021.00024
Citation KeyMenezesAraúConc:2021:ApBaIm
TitleAn approach based on image processing techniques to segment lung region in chest X-ray images
FormatOn-line
Year2021
Access Date2024, May 06
Number of Files1
Size4806 KiB
2. Context
Author1 Menezes, Luiza C. de
2 Araújo, Augusto R. V. F. de
3 Conci, Aura
Affiliation1 Universidade Federal Fluminense, Brazil 
2 Universidade Federal Fluminense, Brazil 
3 Universidade Federal Fluminense, Brazil
EditorPaiva, Afonso
Menotti, David
Baranoski, Gladimir V. G.
Proença, Hugo Pedro
Junior, Antonio Lopes Apolinario
Papa, João Paulo
Pagliosa, Paulo
dos Santos, Thiago Oliveira
e Sá, Asla Medeiros
da Silveira, Thiago Lopes Trugillo
Brazil, Emilio Vital
Ponti, Moacir A.
Fernandes, Leandro A. F.
Avila, Sandra
e-Mail Addresslumenezes@id.uff.br
Conference NameConference on Graphics, Patterns and Images, 34 (SIBGRAPI)
Conference LocationGramado, RS, Brazil (virtual)
Date18-22 Oct. 2021
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2021-09-03 11:28:46 :: lumenezes@id.uff.br -> administrator ::
2022-03-02 00:54:15 :: administrator -> menottid@gmail.com :: 2021
2022-03-02 13:31:24 :: menottid@gmail.com -> administrator :: 2021
2022-06-14 00:00:22 :: administrator -> :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordslung-segmentation
image-processing
mathematical-morphology
x-ray
cxr
AbstractChest X-ray (CXR) images help specialists worldwide to diagnose lung diseases, such as tuberculosis and COVID-19. A primary step in an image-based diagnostic tool is to segment the region of interest. That facilitates the disease classification problem by reducing the amount of information to be processed. However, due to the noisy nature of CXRs, identifying the lung region can be a challenging task. This paper addresses the lung segmentation problem using a less costable computational process based on image analysis and mathematical morphology techniques. The proposed method achieved a specificity of 92.92%, a Jaccard index of 77.77%, and a Dice index of 87.37% on average. All images that comprehend the dataset used and their respective ground truths are available for download at https://github.com/mnzluiza/Lung-Segmentation.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2021 > An approach based...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > An approach based...
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source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/45CDN4S
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/45CDN4S
Languageen
Target File2021174449.pdf
User Grouplumenezes@id.uff.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/45PQ3RS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2021/11.12.11.46 3
sid.inpe.br/sibgrapi/2022/06.10.21.49 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination 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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