Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning.

•Developed an efficient medical image super-resolution method based on deep learning to assist the examination of knee osteoarthritis.•Utiltzed the medical image super-resolution method of end-to-end learning to reduce the reconstruction time.•Combined with the advantages of shallow super-resolution reconstruction network, the cascading convolution kernel is used to deepen the network, which effectively improves the image quality.•Effectively solves the problem of low resolution and low definition of medical images.