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Comparison of Conventional and Deep Learning Based Methods for Pulmonary Nodule Segmentation in Ct Images

AuthID
P-00R-4G1

Author(s)

Rocha, J

Cunha, A

Maria Mendonça, A

Editor(es)

Moura Oliveira P.Novais P.Reis L.P.

Tipo de Documento

Proceedings Paper

Year published

2019

Publicado

in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743

Volume: 11804 LNAI, Páginas: 361-371

Conference

19Th Epia Conference on Artificial Intelligence, Epia 2019, Date: 3 September 2019 through 6 September 2019

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Fontes

Publication Identifiers

DOI: 10.1007/978-3-030-30241-2_31

SCOPUS: 2-s2.0-85072893354

Source Identifiers

ISSN: 0302-9743

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Comparison of Conventional and Deep Learning Based Methods for Pulmonary Nodule Segmentation in Ct Images

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Comparison of Conventional and Deep Learning Based Methods for Pulmonary Nodule Segmentation in Ct Images

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