Super-resolution Reconstruction of Medical Images Based on Deep Convolutional Neural Networks
Nowadays,China's science and technology are developing rapidly,and modern science and technology play an important role in the field of medicine.However,due to the high cost of hardware equip-ment,the medical images currently obtained are not very clear.Therefore,how to improve the problem of unclear medical images is very valuable.Taking medical images as the research object,this paper uses deep learning technology to establish a deep learning mode for high-resolution medical images based on SRCNN network,aiming to improve the resolution.Experiments show that this method can perform high-resolution re-construction of medical images,and its effect is better than that of the interpolation method.
万方数据
维普
