Application Analysis of Image Enhancement Method in Deep Learning Image Recognition Scene
Shangzheng Liu, Bin Liu · 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC) · 2021
As the most important form of unstructured data in the era of big data, image has many advantages, such as large amount of information and easy to be accepted by everyone. In contrast to sound and text, images contain a lot of potentially rich information and are presented in the most direct way. At present, medical image is widely used in clinical examination, and has become an important means to assist doctors in diagnosis, disease evaluation and treatment. In recent decades, the development of computer technology has greatly improved the imaging speed and resolution of medical imaging equipment. However, the medical image is different from the ordinary image in daily life, which has the characteristics of multimodal, uncertainty and data fuzziness. This paper studies deep learning medical image recognition based on image enhancement.