Computer-aided diagnosis of vertebral compression fractures using convolutional neural networks and radiomics (2022)
- Authors:
- USP affiliated authors: BARBOSA, MARCELLO HENRIQUE NOGUEIRA - FMRP ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP ; TINÓS, RENATO - FFCLRP ; CORREIA, NATÁLIA SANTANA CHIARI - FMRP
- Unidades: FMRP; FFCLRP
- DOI: 10.1007/s10278-022-00586-y
- Subjects: ALGORITMOS GENÉTICOS; REDES NEURAIS; DIAGNÓSTICO POR COMPUTADOR; FRATURAS; COLUNA VERTEBRAL
- Keywords: Convolutional neural network; Genetic algorithm; Computer aided diagnosis; Vertebral compression fracture
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Digital Imaging
- ISSN: 0897-1889
- Volume/Número/Paginação/Ano: v. 35, n. 3, p. 446-458, 2022
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
DEL LAMA, Rafael Silva et al. Computer-aided diagnosis of vertebral compression fractures using convolutional neural networks and radiomics. Journal of Digital Imaging, v. 35, n. 3, p. 446-458, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10278-022-00586-y. Acesso em: 19 set. 2024. -
APA
Del Lama, R. S., Candido, R. M., Correia, N. S. C., Nogueira-Barbosa, M. H., Azevedo-Marques, P. M. de, & Tinós, R. (2022). Computer-aided diagnosis of vertebral compression fractures using convolutional neural networks and radiomics. Journal of Digital Imaging, 35( 3), 446-458. doi:10.1007/s10278-022-00586-y -
NLM
Del Lama RS, Candido RM, Correia NSC, Nogueira-Barbosa MH, Azevedo-Marques PM de, Tinós R. Computer-aided diagnosis of vertebral compression fractures using convolutional neural networks and radiomics [Internet]. Journal of Digital Imaging. 2022 ; 35( 3): 446-458.[citado 2024 set. 19 ] Available from: https://doi.org/10.1007/s10278-022-00586-y -
Vancouver
Del Lama RS, Candido RM, Correia NSC, Nogueira-Barbosa MH, Azevedo-Marques PM de, Tinós R. Computer-aided diagnosis of vertebral compression fractures using convolutional neural networks and radiomics [Internet]. Journal of Digital Imaging. 2022 ; 35( 3): 446-458.[citado 2024 set. 19 ] Available from: https://doi.org/10.1007/s10278-022-00586-y - Impact of feature selection on clustering images of vertebral compression fractures
- 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
- 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
- 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
Informações sobre o DOI: 10.1007/s10278-022-00586-y (Fonte: oaDOI API)
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