1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPEW34M/45CDN4S |
Repository | sid.inpe.br/sibgrapi/2021/09.03.11.28 |
Last Update | 2021:09.03.11.28.46 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2021/09.03.11.28.46 |
Metadata Last Update | 2022:06.14.00.00.22 (UTC) administrator |
DOI | 10.1109/SIBGRAPI54419.2021.00024 |
Citation Key | MenezesAraúConc:2021:ApBaIm |
Title | An approach based on image processing techniques to segment lung region in chest X-ray images |
Format | On-line |
Year | 2021 |
Access Date | 2024, May 06 |
Number of Files | 1 |
Size | 4806 KiB |
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2. Context | |
Author | 1 Menezes, Luiza C. de 2 Araújo, Augusto R. V. F. de 3 Conci, Aura |
Affiliation | 1 Universidade Federal Fluminense, Brazil 2 Universidade Federal Fluminense, Brazil 3 Universidade Federal Fluminense, Brazil |
Editor | Paiva, 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 Address | lumenezes@id.uff.br |
Conference Name | Conference on Graphics, Patterns and Images, 34 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil (virtual) |
Date | 18-22 Oct. 2021 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | lung-segmentation image-processing mathematical-morphology x-ray cxr |
Abstract | Chest 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2021 > An approach based... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > An approach based... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPEW34M/45CDN4S |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/45CDN4S |
Language | en |
Target File | 2021174449.pdf |
User Group | lumenezes@id.uff.br |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/45PQ3RS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2021/11.12.11.46 3 sid.inpe.br/sibgrapi/2022/06.10.21.49 1 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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