Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance (2016)
- Authors:
- USP affiliated authors: MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP ; BARBOSA, MARCELLO HENRIQUE NOGUEIRA - FMRP
- Unidade: FMRP
- DOI: 10.1016/j.compbiomed.2016.04.006
- Subjects: DIAGNÓSTICO POR COMPUTADOR; PROCESSAMENTO DE IMAGENS; IMAGEM POR RESSONÂNCIA MAGNÉTICA; ANÁLISE ESTATÍSTICA DE DADOS; COLUNA VERTEBRAL; FRATURAS
- Keywords: Computer-aided diagnosis; Image processing; Magnetic resonance images; Shape analysis; Statistical analysis of gray levels; Texture analysis; Vertebral compression fractures
- Language: Inglês
- Imprenta:
- Publisher place: Kidlington
- Date published: 2016
- Source:
- Título do periódico: Computers in Biology and Medicine
- ISSN: 0020-4825
- Volume/Número/Paginação/Ano: v. 73, p. 147-156, 2016
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FRIGHETTO-PEREIRA, Lucas et al. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance. Computers in Biology and Medicine, v. 73, p. 147-156, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2016.04.006. Acesso em: 19 abr. 2024. -
APA
Frighetto-Pereira, L., Rangayyan, R. M., Metzner, G. A., Azevedo-Marques, P. M. de, & Nogueira-Barbosa, M. H. (2016). Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance. Computers in Biology and Medicine, 73, 147-156. doi:10.1016/j.compbiomed.2016.04.006 -
NLM
Frighetto-Pereira L, Rangayyan RM, Metzner GA, Azevedo-Marques PM de, Nogueira-Barbosa MH. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance [Internet]. Computers in Biology and Medicine. 2016 ; 73 147-156.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.compbiomed.2016.04.006 -
Vancouver
Frighetto-Pereira L, Rangayyan RM, Metzner GA, Azevedo-Marques PM de, Nogueira-Barbosa MH. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance [Internet]. Computers in Biology and Medicine. 2016 ; 73 147-156.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1016/j.compbiomed.2016.04.006 - 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
- 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
- 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: 10.1016/j.compbiomed.2016.04.006 (Fonte: oaDOI API)
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