Advances in the application of artificial intelligence-based radiomics and digital pathology in the diagnosis of glioma

doi:10.3877/cma.j.issn.2095-123X.2020.04.007

Abstract

Abstract:

With the exponential growth of computing power, the arrival of the era of big data and the rise of new disciplines such as "medical-engineering combination" , artificial intelligence (AI) has opened a new era in the field of medicine. AI can be applied to disease diagnosis, data analysis, clinical decision-making and many other aspects. Accurate diagnosis and pathological grading of glioma has always been a difficult point in clinic. In this paper, the application, prospect and challenge of AI in glioma imaging diagnosis and pathological grading are reviewed.

Key words: Glioma, Artificial intelligence, Radiomics, Digital pathology

Yongyong Cao, Rao Fu, Hongyao Lyu, Minhan Yi, Hongpeng Yin, Shengqing Lyu. Advances in the application of artificial intelligence-based radiomics and digital pathology in the diagnosis of glioma[J]. Chinese Journal of Brain Diseases and Rehabilitation(Electronic Edition), 2020, 10(04): 230-233.

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