Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases (2022)
- Authors:
- USP affiliated authors: SANTOS, MARCEL KOENIGKAM - FMRP ; TRAINA, AGMA JUCI MACHADO - ICMC ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP ; BÊDO, MARCOS VINÍCIUS NAVES - FMRP
- Unidades: FMRP; ICMC
- DOI: 10.1007/s11548-022-02635-x
- Subjects: RECUPERAÇÃO DA INFORMAÇÃO; RECONHECIMENTO DE IMAGEM; APRENDIZADO COMPUTACIONAL; REDES NEURAIS; COVID-19
- Keywords: CBIR; kNN; Deep Learning
- Language: Inglês
- Imprenta:
- Publisher: Springer
- Publisher place: Heidelberg
- Date published: 2022
- Source:
- Título do periódico: International Journal of Computer Assisted Radiology and Surgery
- ISSN: 1861-6410
- Volume/Número/Paginação/Ano: v. 17, supl. 1, p. S13-S14, June 2022
- Conference titles: International Congress and Exhibition on Computer Assisted Radiology and Surgery - CARS
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
BÊDO, Marcos Vinícius Naves et al. Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/s11548-022-02635-x. Acesso em: 28 abr. 2024. , 2022 -
APA
Bêdo, M. V. N., Lima, L., Koenigkam-Santos, M., Traina, A. J. M., & Azevedo-Marques, P. M. de. (2022). Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Springer. doi:10.1007/s11548-022-02635-x -
NLM
Bêdo MVN, Lima L, Koenigkam-Santos M, Traina AJM, Azevedo-Marques PM de. Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2022 ; 17 S13-S14.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1007/s11548-022-02635-x -
Vancouver
Bêdo MVN, Lima L, Koenigkam-Santos M, Traina AJM, Azevedo-Marques PM de. Deep extracted features to support content-based image retrieval systems in the diagnosis of Covid-19 and interstitial diseases [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2022 ; 17 S13-S14.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1007/s11548-022-02635-x - Pushing diversity into higher dimensions: the LID effect on diversified similarity searching
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Informações sobre o DOI: 10.1007/s11548-022-02635-x (Fonte: oaDOI API)
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