A REVIEW OF DEEP LEARNING IN MEDICAL PRACTICE
A REVIEW OF DEEP LEARNING IN MEDICAL PRACTICE
Author(s): Corina Maria Vasile, Anca Loredana Udristoiu, Alice Ghenea, Anca Ungureanu, Cristian Gheonea, Carmen-Elena Niculescu, Mirela Anişoara Siminel, Stefan Udristoiu, Oana Iana, Ramona Cioboata, Alexandru Dragoş MaiorSubject(s): Health and medicine and law
Published by: Research and Science Today
Keywords: DEEP LEARNING; ARTIFICIAL INTELLIGENCE; MACHINE LEARNING; MEDICAL PRACTICE; MEDICAL IMAGE ANALYSIS;
Summary/Abstract: 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.
Journal: Research and Science Today
- Issue Year: 21/2021
- Issue No: 1
- Page Range: 67-77
- Page Count: 11
- Language: English
