4   Artículos

 
en línea
Miu Sakaida, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa and Hiroyuki Sugimori    
Convolutional neural networks (CNNs) in deep learning have input pixel limitations, which leads to lost information regarding microcalcification when mammography images are compressed. Segmenting images into patches retains the original resolution when i... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
He Yin, Keming Mao, Jianzhe Zhao, Huidong Chang, Dazhi E and Zhenhua Tan    
This study considered heated metal mark attribute recognition based on compressed convolutional neural networks (CNNs) models. Based on our previous works, the heated metal mark image benchmark dataset was further expanded. State-of-the-art lightweight C... ver más
Revista: Applied Sciences    Formato: Electrónico

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