A review of the application of deep learning in medical image classification and segmentation

被引：231

作者：

Cai, Lei ^{[1
]}

Gao, Jingyang ^{[1
]}

Zhao, Di ^{[2
]}

机构：

[1] Beijing Univ Chem Technol, Coll Informat Engn & Technol, 15 East North Third Ring Rd, Beijing, Peoples R China

[2] Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China

来源：

ANNALS OF TRANSLATIONAL MEDICINE | 2020年 / 8卷 / 11期

关键词：

Big medical data; deep learning; classification; segmentation; object detection; NETWORK;

D O I：

10.21037/atm.2020.02.44

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

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.

引用

页数：15

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