Advances in brain tumor research based on deep learning neural network Mask R-CNN

doi:10.3877/cma.j.issn.2095-123X.2022.02.011

Abstract

Abstract:

With the rapid development of artificial intelligence, deep learning has been widely used in the medical field. In recent years, deep learning based neural network Mask R-CNN has proved its high efficiency in processing natural image sets in other fields. Its feature is that it could not only detect object but also deal with semantic segmentation. Although the algorithm has not been widely applied in the medical field, preliminary exploration has been made in the image recognition of brain tumors in the literature. This paper reviews the advantages of Mask R-CNN, its application in brain tumors, research hotspots and problems, so as to provide a new direction for the future development of precise personalized diagnosis and treatment of brain tumors.

Key words: Brain Tumors, Deep learning, Mask R-CNN, Precision medicine

Yunda Wang, Xin Meng, Haocong Wang, Wenqing Liu, Tao Xin. Advances in brain tumor research based on deep learning neural network Mask R-CNN[J]. Chinese Journal of Brain Diseases and Rehabilitation(Electronic Edition), 2022, 12(02): 120-123.

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