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dc.contributor.authorde Souza, Luis A.
dc.contributor.authorAfonso, Luis C. S.
dc.contributor.authorEbigbo, Alanna
dc.contributor.authorProbst, Andreas
dc.contributor.authorMessmann, Helmut
dc.contributor.authorMendel, Robert
dc.contributor.authorHook, Christian
dc.contributor.authorPalm, Christoph
dc.contributor.authorPapa, João P. [UNESP]
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionKlinikum Augsburg
dc.contributor.institutionOstbayerische Technische Hochschule Regensburg - OTH Regensburg
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2025-04-29T20:05:06Z
dc.date.issued2024-10-01
dc.description.abstractThe Editor-in-Chief and the publisher have retracted this article. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including this one, with a number of concerns, including but not limited to compromised editorial handling and peer review process, inappropriate or irrelevant references or not being in scope of the journal or guest-edited issue. Based on the investigation's findings the Editor-in-Chief therefore no longer has confidence in the results and conclusions of this article. João P. Papa disagrees with this retraction. Luis A. de Souza Jr., Luis C. S. Afonso, Andreas Probst, Helmut Messmann, Christian Hook, and Christoph Palm have not responded to correspondence regarding this retraction. The Publisher has not been able to obtain a current email address for authors Alanna Ebigbo and Robert Mendel.en
dc.description.affiliationDepartment of Computing Federal University of São Carlos - UFScar
dc.description.affiliationMedizinische Klinik III Klinikum Augsburg
dc.description.affiliationRegensburg Medical Image Computing (ReMIC) Ostbayerische Technische Hochschule Regensburg - OTH Regensburg
dc.description.affiliationDepartment of Computing São Paulo State University - UNESP
dc.description.affiliationUnespDepartment of Computing São Paulo State University - UNESP
dc.format.extent17753
dc.identifierhttp://dx.doi.org/10.1007/s00521-024-10343-7
dc.identifier.citationNeural Computing and Applications, v. 36, n. 28, p. 17753-, 2024.
dc.identifier.doi10.1007/s00521-024-10343-7
dc.identifier.issn1433-3058
dc.identifier.issn0941-0643
dc.identifier.scopus2-s2.0-85201201027
dc.identifier.urihttps://hdl.handle.net/11449/306052
dc.language.isoeng
dc.relation.ispartofNeural Computing and Applications
dc.sourceScopus
dc.title.alternativeRetraction Note: Learning visual representations with optimum-path forest and its applications to Barrett’s esophagus and adenocarcinoma diagnosis (Neural Computing and Applications, (2020), 32, 3, (759-775), 10.1007/s00521-018-03982-0)en
dc.typeErratapt
dspace.entity.typePublication
unesp.author.orcid0000-0002-6494-7514[9]

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