Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging (2017)
- Authors:
- USP affiliated authors: BARBOSA, MARCELLO HENRIQUE NOGUEIRA - FMRP ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP
- Unidade: FMRP
- DOI: 10.1007/978-3-319-68195-5_69
- Subjects: ARTRITE; DOENÇA CRÔNICA; RESSONÂNCIA MAGNÉTICA NUCLEAR
- Keywords: Spondyloarthritis; Inflammatory sacroiliitis; Sacroiliac joints; Magnetic resonance imaging; Pattern recognition
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Computational Vision and Biomechanics
- ISSN: 2212-9391
- Volume/Número/Paginação/Ano: v. 27, p. 639-644, 2017
- Conference titles: European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS)
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FALEIROS, Matheus Calil et al. Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging. Lecture Notes in Computational Vision and Biomechanics. Dordrecht: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-319-68195-5_69. Acesso em: 28 dez. 2025. , 2017 -
APA
Faleiros, M. C., Ferreira Junior, J. R., Jens, E. Z., Dalto, V. F., Nogueira-Barbosa, M. H., & Azevedo-Marques, P. M. de. (2017). Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging. Lecture Notes in Computational Vision and Biomechanics. Dordrecht: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/978-3-319-68195-5_69 -
NLM
Faleiros MC, Ferreira Junior JR, Jens EZ, Dalto VF, Nogueira-Barbosa MH, Azevedo-Marques PM de. Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging [Internet]. Lecture Notes in Computational Vision and Biomechanics. 2017 ; 27 639-644.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/978-3-319-68195-5_69 -
Vancouver
Faleiros MC, Ferreira Junior JR, Jens EZ, Dalto VF, Nogueira-Barbosa MH, Azevedo-Marques PM de. Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging [Internet]. Lecture Notes in Computational Vision and Biomechanics. 2017 ; 27 639-644.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/978-3-319-68195-5_69 - Recognition of vertebral compression fractures in magnetic resonance images using statistics of height and width
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- Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures
- 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
- Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance
- Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI
- Classification of vertebral compression fractures in magnetic resonance images using spectral and fractal analysis
- Radiomic biomarkers for sacroiliitis diagnosis and prediction of spondyloarthritis progression
- Computer-aided classification of inflammatory sacroiliitis in magnetic resonance imaging
Informações sobre o DOI: 10.1007/978-3-319-68195-5_69 (Fonte: oaDOI API)
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