Publicações

Colorectal Polyp Segmentation: Impact of Combining Different Datasets on Deep Learning Model Performance

AuthID
P-017-WV3

Author(s)

de Araujo, SL Jr

Scheeren, MH

Aguiar, RMG

Mendes, E

Franco, RAP

Rodrigues, PJ

de Paula, PL

Editor(es)

Pereira,AI;Fernandes,FP;Coelho,JP;Teixeira,JP;Lima,J;Pacheco,MF;Lopes,RP;Alvarez,ST

Tipo de Documento

Proceedings Paper

Year published

2024

Publicado

in OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, OL2A 2024, PT I in Communications in Computer and Information Science, ISSN: 1865-0929

Volume: 2280, Páginas: 189-204 (16)

Conference

4Th International Conference on Optimization Learning Algorithms and Applications, Date: JUL 24-26, 2024, Location: Santa Cruz de Tenerife, SPAIN

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Metadata
Fontes

Publication Identifiers

DOI: 10.1007/978-3-031-77426-3_13

SCOPUS: 2-s2.0-85214431185

Wos: WOS:001450990400013

Source Identifiers

ISSN: 1865-0929

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Colorectal Polyp Segmentation: Impact of Combining Different Datasets on Deep Learning Model Performance

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Colorectal Polyp Segmentation: Impact of Combining Different Datasets on Deep Learning Model Performance

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