[Using Parallel Convolutional Neural Networks for Treatment Position Recognition in X-ray Images].
Zhongguo Yi Liao Qi Xie Za Zhi
; 42(2): 92-94, 2018 Feb 08.
Article
en Zh
| MEDLINE
| ID: mdl-29845806
ABSTRACT
Treatment position recognition in medical images is a key technique in medical image processing. Due to the excellent performance of convolutional neural networks on features extraction and classification, an architecture of parallel convolutional neural networks is proposed to recognize treatment positions in X-ray images, which uses convolution kernels of different sizes to extract local features of different sizes in these images. The experimental analysis shows that parallel convolution neural networks, which can extract representative image features with more dimensions, are competent to classify and recognize treatment positions in medical images.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Procesamiento de Imagen Asistido por Computador
/
Redes Neurales de la Computación
Idioma:
Zh
Revista:
Zhongguo Yi Liao Qi Xie Za Zhi
Año:
2018
Tipo del documento:
Article