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.
