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Automating the Annotation of Medical Images in Capsule Endoscopy Through Convolutional Neural Networks and Cbir

AuthID
P-010-NQE

Author(s)

Fernandes, R

Salgado, M

Paçal, I

Cunha, A

Editor(es)

Cunha,A;Paiva,A;Pereira,S

Tipo de Documento

Proceedings Paper

Year published

2024

Publicado

in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, ISSN: 1867-8211

Volume: 578 LNICST, Páginas: 195-207 (12)

Conference

12Th International Conference on Mobile Communication and Healthcare, Mobihealth 2023, Date: 29 November 2023 through 30 November 2023, Location: Vila Real

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Fontes

Publication Identifiers

DOI: 10.1007/978-3-031-60665-6_15

SCOPUS: 2-s2.0-85199760004

Unpaywall: 10.1007/978-3-031-60665-6_15

Source Identifiers

ISSN: 1867-8211

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Automating the Annotation of Medical Images in Capsule Endoscopy Through Convolutional Neural Networks and Cbir

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Automating the Annotation of Medical Images in Capsule Endoscopy Through Convolutional Neural Networks and Cbir

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