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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/3U2N8NH
Repositorysid.inpe.br/sibgrapi/2019/09.10.14.31
Last Update2019:09.10.14.31.42 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2019/09.10.14.31.42
Metadata Last Update2022:06.14.00.09.36 (UTC) administrator
DOI10.1109/SIBGRAPI.2019.00039
Citation KeySouzaLBGRALF:2019:BrExNe
TitleBrain extraction network trained with “silver standard” data and fine-tuned with manual annotation for improved segmentation
FormatOn-line
Year2019
Access Date2024, Apr. 28
Number of Files1
Size2624 KiB
2. Context
Author1 Souza, Roberto
2 Lucena, Oeslle
3 Bento, Mariana
4 Garrafa, Julia
5 Rittner, Letícia
6 Appenzeller, Simone
7 Lotufo, Roberto
8 Frayne, Richard
Affiliation1 University of Calgary
2 King’s College London
3 University of Calgary
4 University of Campinas
5 University of Campinas
6 University of Campinas
7 University of Campinas
8 University of Calgary
EditorOliveira, Luciano Rebouças de
Sarder, Pinaki
Lage, Marcos
Sadlo, Filip
e-Mail Addressroberto.medeirosdeso@ucalgary.ca
Conference NameConference on Graphics, Patterns and Images, 32 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date28-31 Oct. 2019
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2019-09-10 14:31:42 :: roberto.medeirosdeso@ucalgary.ca -> administrator ::
2022-06-14 00:09:36 :: administrator -> roberto.medeirosdeso@ucalgary.ca :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsskull-stripping
brain extraction
MRI
segmentation
AbstractTraining convolutional neural networks (CNNs) for medical image segmentation often requires large and representative sets of images and their corresponding annotations. Obtaining annotated images usually requires manual intervention, which is expensive and time consuming, as it typically requires a specialist. An alternative approach is to leverage existing automatic segmentation tools and combine them to create consensus-based silver-standards annotations. A drawback to this approach is that silver-standards are usually smooth and this smoothness is transmitted to the output segmentation of the network. Our proposal is to use a two-staged approach. First, silver-standard datasets are used to generate a large set of annotated images in order to train the brain extraction network from scratch. Second, fine-tuning is performed using much smaller amounts of manually annotated data so that the network can learn the finer details that are not preserved in the silver-standard data. As an example, our two-staged brain extraction approach has been shown to outperform seven stateof- the-art techniques across three different public datasets. Our results also suggest that CNNs can potentially capture inter-rater annotation variability between experts who annotate the same set of images following the same guidelines, and also adapt to different annotation guidelines.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2019 > Brain extraction network...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Brain extraction network...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/3U2N8NH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/3U2N8NH
Languageen
Target FileSIBGRAPI_Skull_stripping_Fine_tuning.pdf
User Grouproberto.medeirosdeso@ucalgary.ca
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/3UA4FNL
8JMKD3MGPEW34M/3UA4FPS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2019/10.25.18.30.33 2
sid.inpe.br/banon/2001/03.30.15.38.24 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
7. Description control
e-Mail (login)roberto.medeirosdeso@ucalgary.ca
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