Ryerson University, Dept. of Electrical and Computer Engineering, Toronto, Canada;
Faculty of Computer Engineering, University of Isfahan, Dept. of Al, Isfahan, Iran;
University of Saskatoon, Dept. of Medical Imaging, Saskatoon, Canada;
Ryerson University Toronto, Dept. of Electrical and Computer Engineering, Canada;
Conferences; Biomedical engineering;
机译:低剂量X射线计算机断层扫描的惩罚加权最小二乘法减少正弦图噪声并重建图像
机译:使用深卷积神经网络自动分割PSOAS-主要肌肉的2D低剂量CT图像
机译:描绘黑色素瘤深阶级:深度卷积神经网络,分类皮肤病变图像的方法
机译:低剂量CT图像降噪的深度卷积方法
机译:低剂量X射线计算机断层扫描的降噪功能。
机译:低剂量X射线计算机断层扫描的惩罚加权最小二乘法降噪和图像重建
机译:低剂量CT图像降噪卷积神经网络架构的设计与实现