A review of the application of deep learning in medical image classification and segmentation
Lei Cai, Jingyang Gao, Di Zhao
Beijing University of Chemical Technology Chinese Academy of Sciences Institute of Computing Technology
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摘要与影响
Big medical data mainly include electronic health record data, medical image data, gene information data, etc. Among them, medical image data account for the vast majority of medical data at this stage. How to apply big medical data to clinical practice? This is an issue of great concern to medical and computer researchers, and intelligent imaging and deep learning provide a good answer. This review introduces the application of intelligent imaging and deep learning in the field of big data analysis and early diagnosis of diseases, combining the latest research progress of big data analysis of medical images and the work of our team in the field of big data analysis of medical imagec, especially the classification and segmentation of medical images.
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计算机 / AIMedical Image Segmentation Techniques
Artificial Intelligence in Healthcare and Education · Advanced Neural Network Applications
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