Ultrasonic nerve detection is essential in modern medicine and aids especially nerve analysis and surgical treatment. Accurate segmentation of ultrasound pix is tough because of precise blood vessels and noise. Our approach advances the usage of image evaluation and neural networks in clinical workout. Through expert declaration and computer experiments, we determine the extraordinary neural network version for correct masks elimination in scientific workout. Although there are disturbing conditions collectively with modifications and noise within the neural picture, our technique despite the fact that performs well on neural techniques and improves segmentation accuracy. Our research represents a big fortify inside the assessment of medical pictures thru manner of imparting an available approach for ultrasonic segmentation. Rigorous sorting out has decided that the U-Net version is the maximum accurate. This is a high boom in neurological analysis and allows improve evaluation and affected character care.