A review of the application of deep learning in medical image classification and segmentation
Author(s) -
Lei Cai,
Jingyang Gao,
Di Zhao
Publication year - 2020
Publication title -
annals of translational medicine
Language(s) - English
Resource type - Journals
eISSN - 2305-5847
pISSN - 2305-5839
DOI - 10.21037/atm.2020.02.44
Subject(s) - big data , deep learning , computer science , field (mathematics) , segmentation , medical imaging , medical research , data science , artificial intelligence , image segmentation , data mining , medicine , pathology , mathematics , pure mathematics
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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