Crossmark

TransConv: a lightweight architecture based on transformers and convolutional neural networks for adenocarcinoma and Barrett’s esophagus identification

Crossref DOI link: https://doi.org/10.1007/s00521-025-11299-y

Published Online: 2025-05-25

Published Print: 2025-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Souza, Luis A. Jr. https://orcid.org/0000-0002-7060-6097
Pacheco, André G. C.

Souza, Alberto F. De

Oliveira-Santos, Thiago

Badue, Claudine

Palm, Christoph

Papa, João Paulo
Funding

Funding for this research was provided by:

Fundação de Amparo à Pesquisa e Inovação do Espírito Santo

Fundação de Amparo à Pesquisa do Estado de São Paulo

Brazilian National Program of Genomics and Precision Health

Brazilian National Program of Genomics and Precision Health

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Conselho Nacional de Desenvolvimento Científico e Tecnológico
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Text and Data Mining valid from 2025-05-25

Version of Record valid from 2025-05-25
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Article History

Received: 26 September 2024

Accepted: 16 April 2025

First Online: 25 May 2025

Declarations

:

: The authors declare that there is no conflict of interest.

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