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

• Published in: Annals of translational medicine Vol. 8; no. 11; p. 713
• Main Authors: Cai, Lei, Gao, Jingyang, Zhao, Di
• Format: Journal Article
• Language: English
• Published: China AME Publishing Company 01.06.2020
• Subjects: Review on Medical Artificial Intelligent Research; deep learning; segmentation; object detection; classification; Big medical data
• ISSN: 2305-5839; 2305-5839
• DOI: 10.21037/atm.2020.02.44

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.