Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI (2017)
- Authors:
- USP affiliated authors: MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP ; BARBOSA, MARCELLO HENRIQUE NOGUEIRA - FMRP
- Unidade: FMRP
- DOI: 10.1007/s11548-017-1588-3
- Assunto: RECONHECIMENTO DE PADRÕES
- Keywords: Vertebral compression fracture; Cooperative classification; Computer-aided diagnosis; Magnetic resonance imaging
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2017
- Source:
- Título do periódico: International Journal of Computer Assisted Radiology and Surgery
- ISSN: 1861-6410
- Volume/Número/Paginação/Ano: v. 12, Suppl. 1, p. S153, 2017
- Conference titles: Congress of 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: green
- Licença: other-oa
-
ABNT
CASTI, P. et al. Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI. 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/s11548-017-1588-3. Acesso em: 24 abr. 2024. , 2017 -
APA
Casti, P., Mencattini, A., Nogueira-Barbosa, M. H., Frighetto-Pereira, L., Azevedo-Marques, P. M. de, Martinelli, E., & Di Natale, C. (2017). Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/s11548-017-1588-3 -
NLM
Casti P, Mencattini A, Nogueira-Barbosa MH, Frighetto-Pereira L, Azevedo-Marques PM de, Martinelli E, Di Natale C. Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2017 ; 12 S153.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s11548-017-1588-3 -
Vancouver
Casti P, Mencattini A, Nogueira-Barbosa MH, Frighetto-Pereira L, Azevedo-Marques PM de, Martinelli E, Di Natale C. Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2017 ; 12 S153.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s11548-017-1588-3 - Detection of vertebral plateaus in lateral lumbar spinal X-ray images with gabor filters
- Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging
- Recognition of vertebral compression fractures in magnetic resonance images using statistics of height and width
- Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance
- Classification of vertebral compression fractures in magnetic resonance images using spectral and fractal analysis
- Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures
- Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging
- Detection of vertebral compression fractures in lateral lumbar X-ray images
- Recognition of vertebral compression fractures in magnetic resonance images using measures of distances to the centroid
- Computer-aided classification of inflammatory sacroiliitis in magnetic resonance imaging
Informações sobre o DOI: 10.1007/s11548-017-1588-3 (Fonte: oaDOI API)
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