摘要：AbstractIn the diagnosis of hydronephrosis, there are cases where pathological symptoms and causes are difficult to judge. In order to improve the ultrasound diagnosis of hydronephrosis, based on CNN neural network technology, this paper analyzes the traditional image resolution processing algorithm by contrast analysis method, and proposes a fast image super-resolution reconstruction algorithm. The method improves the image processing efficiency and combines the CNN neural network to effectively treat the hydronephrosis ultrasound image. In addition, this study analyzes the clinical effects of the algorithm by establishing a controlled trial. The analysis shows that the results of this study can obtain effective diagnosis results, that is, the diagnosis results of this study can provide an effective reference for the diagnosis of hydrocephalus ultrasound images, which has certain clinical significance.
