Medical 3D reconstruction based on deep learning for healthcare

Abstract

Medical 3D reconstruction technology, as a branch of computer visualization technology, is not only a theoretical innovation but can also provide rich, clear 3D images for processing medical images, which is playing a vital role in the diagnosis of disease. To make up for the disadvantages of traditional 3D reconstruction technology, we combine deep learning with the traditional optimization method, which presents great potential, boosting the development of medical image diagnosis technology. This paper focuses on the important role and the latest development of medical 3D reconstruction technology with deep learning.