An Automatic Liver Tumor Detection Method by Ultrasound Robot Based on Deep Learning

Abstract

The prevalence of liver disease in humans is high nowadays, and although there are effective methods to detect liver lesions, more effective medical treatments are imperative due to certain factors. In the field of medicine, especially in the treatment of liver lesions, medical applications based on ultrasound processing have become quite sophisticated over the years. To effectively help physicians detect liver lesions, this study uses deep learning-based image processing to construct a model for medical applications targeting liver and tumor detection. A dataset based on ultrasound images was produced for training and testing. During the experiments, we finally succeeded in achieving the set goals considering the application of the learning model and the evaluation of the result data.