Trabalho de evento-resumo periodico

AI-based radiomic approach in high-resolution CT images for differential diagnosis of idiopathic pulmonary fibrosis (2020)

• Authors:
  • Dorileo, Éderson Antonio Gomes
  • Koenigkam-Santos, Marcel
  • Fabro, Alexandre Todorovic
  • Azevedo-Marques, Paulo Mazzoncini de
• USP affiliated authors: SANTOS, MARCEL KOENIGKAM - FMRP ; FABRO, ALEXANDRE TODOROVIC - FMRP ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP ; DORILÊO, EDERSON ANTONIO GOMES - FMRP
• Unidade: FMRP
• DOI: 10.1007/s11548-020-02171-6
• Subjects: FIBROSE PULMONAR; BIOMARCADORES; INTELIGÊNCIA ARTIFICIAL; RADIOLOGIA; DIAGNÓSTICO POR COMPUTADOR
• Keywords: Radiomics; Idiopathic pulmonary fibrosis; Interstitial lung disease; High resolution CT
• Language: Inglês
• Imprenta:
  • Publisher place: Heidelberg
  • Date published: 2020
• Source:
  • Título: International Journal of Computer Assisted Radiology and Surgery
  • ISSN: 1861-6410
  • Volume/Número/Paginação/Ano: v. 15, suppl. 1, p. S120-S121, 2020
• Conference titles: International Congress and Exhibition on Computer Assisted Radiology and Surgery - CARS


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• ABNT

  DORILEO, Éderson Antonio Gomes et al. AI-based radiomic approach in high-resolution CT images for differential diagnosis of idiopathic pulmonary fibrosis. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s11548-020-02171-6. Acesso em: 31 mar. 2026. , 2020

• APA

  Dorileo, É. A. G., Koenigkam-Santos, M., Fabro, A. T., & Azevedo-Marques, P. M. de. (2020). AI-based radiomic approach in high-resolution CT images for differential diagnosis of idiopathic pulmonary fibrosis. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/s11548-020-02171-6

• NLM

  Dorileo ÉAG, Koenigkam-Santos M, Fabro AT, Azevedo-Marques PM de. AI-based radiomic approach in high-resolution CT images for differential diagnosis of idiopathic pulmonary fibrosis [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2020 ; 15 S120-S121.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1007/s11548-020-02171-6

• Vancouver

  Dorileo ÉAG, Koenigkam-Santos M, Fabro AT, Azevedo-Marques PM de. AI-based radiomic approach in high-resolution CT images for differential diagnosis of idiopathic pulmonary fibrosis [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2020 ; 15 S120-S121.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1007/s11548-020-02171-6

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