A 3D radiomics-based artificial neural network model for benign versus malignant vertebral compression fracture classification in MRI (2023)
- Authors:
- USP affiliated authors: BARBOSA, MARCELLO HENRIQUE NOGUEIRA - FMRP ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP ; CORREIA, RODOLFO DIAS CHIARI - FFCLRP
- Unidades: FMRP; FFCLRP
- DOI: 10.1007/s10278-023-00847-4
- Subjects: FRATURAS; VÉRTEBRAS LOMBARES; DIAGNÓSTICO POR IMAGEM; RESSONÂNCIA MAGNÉTICA; NEOPLASIAS DA COLUNA VERTEBRAL
- Keywords: Compression fractures; Magnetic resonance image; Medical image processing; Neural network models; Spine
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Digital Imaging
- ISSN: 0897-1889
- Volume/Número/Paginação/Ano: v. 36, n. 4, p. 1565-1577, 2023
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
CORREIA, Natália Santana Chiari et al. A 3D radiomics-based artificial neural network model for benign versus malignant vertebral compression fracture classification in MRI. Journal of Digital Imaging, v. 36, n. 4, p. 1565-1577, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10278-023-00847-4. Acesso em: 29 dez. 2025. -
APA
Correia, N. S. C., Nogueira-Barbosa, M. H., Chiari-Correia, R. D., & Azevedo-Marques, P. M. de. (2023). A 3D radiomics-based artificial neural network model for benign versus malignant vertebral compression fracture classification in MRI. Journal of Digital Imaging, 36( 4), 1565-1577. doi:10.1007/s10278-023-00847-4 -
NLM
Correia NSC, Nogueira-Barbosa MH, Chiari-Correia RD, Azevedo-Marques PM de. A 3D radiomics-based artificial neural network model for benign versus malignant vertebral compression fracture classification in MRI [Internet]. Journal of Digital Imaging. 2023 ; 36( 4): 1565-1577.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1007/s10278-023-00847-4 -
Vancouver
Correia NSC, Nogueira-Barbosa MH, Chiari-Correia RD, Azevedo-Marques PM de. A 3D radiomics-based artificial neural network model for benign versus malignant vertebral compression fracture classification in MRI [Internet]. Journal of Digital Imaging. 2023 ; 36( 4): 1565-1577.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1007/s10278-023-00847-4 - Recognition of vertebral compression fractures in magnetic resonance images using statistics of height and width
- Detection of vertebral plateaus in lateral lumbar spinal X-ray images with gabor filters
- Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging
- 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
- Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging
- 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
Informações sobre o DOI: 10.1007/s10278-023-00847-4 (Fonte: oaDOI API)
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