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Research Articles Issue 1 · 2021 · pp. 67–77 · Issue page

A REVIEW OF DEEP LEARNING IN MEDICAL PRACTICE

CO
Corina Maria VASILE1
AN
Anca Loredana UDRIŞTOIU2
AL
Alice Elena GHENEA3
AN
Anca UNGUREANU4
CR
Cristian GHEONEA5
CA
Carmen-Elena NICULESCU6
MI
Mirela Anişoara SIMINEL7
ŞT
Ştefan UDRIŞTOIU8
OA
Oana IANA9
RA
Ramona CIOBOATĂ10
DR
Dragoş-Ovidiu ALEXANDRU11
1 PhD School Department, University of Medicine and Pharmacy of Craiova, Craiova, Dolj, Romania
2 Faculty of Automation, Computers and Electronics, University of Craiova, Craiova, Dolj, Romania
3 Department of Bacteriology -Virology-Parasitology, Univ ersity of Medicine and Pharmacy of Craiova, Craiova, Dolj, Romania
4 Department of Bacteriology -Virology-Parasitology, Univ ersity of Medicine and Pharmacy of Craiova, Craiova, Dolj, Romania
5 Department of Pediatrics, University of Medicine and Pharmacy of Craiova, Craiova, Dolj, Romania
6 Department of Pediatrics, University of Medicine and Pharmacy of Craiova, Craiova, Dolj, Romania
7 Department of Neonatology, University of Medicine and Pharmacy of Craiova, Craiova, Dolj, Romania
8 Faculty of Automation, Computers and Electronics, University of Craiova, Craiova, Dolj, Romania
9 C.I. Parhon National Institute of Endocrinology, Bucharest, Romania
10 Department of Pneumology, University of Medicine and Pharmacy of Craiova, Craiova, Dolj, Romania
11 Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy of Craiova, Craiova, Dolj, Romania
Corresponding author: [email protected]
DOI https://doi.org/10.38173/RST.2021.21.1.6:67-77
Received 22 December 2020
Revised 2 February 2021
Accepted 27 February 2021
Available Online 15 March 2021
Abstract
DEEP LEARNING HAS BEEN USED FREQUENTLY IN MEDICAL IMAGING TASKS SINCE ITS CREA TION, AND HAS SEEN NOTABLE IMPROVEMENT IN A VARIETY OF MEDICAL IMAGING APPLICATIONS, CONSEQUENTLY PUSHING US INTO THE AI ERA. IT IS UNI VERSALLY 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 TECH NIQUES 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.
Keywords
DEEP LEARNING ARTIFICIAL INTELLIGENCE MACHINE LEARNING MEDICAL
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