Yankun Cao1, Lina Xu3, Zhi Liu2, Xiaoyan Xiao4, Mingyu Wang5, Qin Li6, Hongji Xu2, Geng Yang6,*
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 851-863, 2022, DOI:10.32604/cmes.2022.018424
- 14 March 2022
Abstract Contribution: This paper designs a learning and training platform that can systematically help radiologists learn automated medical image analysis technology. The platform can help radiologists master deep learning theories and medical applications such as the three-dimensional medical decision support system, and strengthen the teaching practice of deep learning related courses in hospitals, so as to help doctors better understand deep learning knowledge and improve the efficiency of auxiliary diagnosis. Background: In recent years, deep learning has been widely used in academia, industry, and medicine. An increasing number of companies are starting to recruit a large number… More >
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