文章基本信息

标题：A REVIEW OF DEEP LEARNING IN MEDICAL PRACTICE
本地全文：下载
作者：Corina Maria VASILE ; Anca Loredana UDRIŞTOIU ; Alice Elena GHENEA 等
期刊名称：Research and Science Today
印刷版ISSN：2247-4455
电子版ISSN：2285-9632
出版年度：2021
期号：21
页码：67-77
DOI：10.38173/RST.2021.21.1.6:67-77
语种：English
出版社：RST Journal
摘要：DEEP LEARNING HAS BEEN USED FREQUENTLY IN MEDICAL IMAGING TASKS SINCE ITS CREATION, AND HAS SEEN NOTABLE IMPROVEMENT IN A VARIETY OF MEDICAL IMAGING APPLICATIONS, CONSEQUENTLY PUSHING US INTO THE AI ERA.IT IS UNIVERSALLY BELIEVED THAT AI'S ABILITY TO SUCCEED IS MAINLY DUE TO THE PRESENCE OF LARGE DATA SETS WITH DESCRIPTION ON A PARTICULAR APPLICATION AND THE ADVANCEMENT IN COMPUTING PERFORMANCE.MEDICAL IMAGING FACES PARTICULAR DIFFICULTIES THAT DEEP LEARNING TECHNIQUES MUST RESOLVE. OUR PAPER OUTLINES THE CLINICAL NEEDS AND TECHNOLOGICAL CHALLENGES THAT FACE MEDICAL IMAGING, AS WELL AS HOW DEEP LEARNING METHODS ARE PROGRESSING THE AREA.
关键词：DEEP LEARNING;ARTIFICIAL INTELLIGENCE;MACHINE LEARNING;MEDICAL PRACTICE;MEDICAL IMAGE ANALYSIS