التفاصيل البيبلوغرافية
| العنوان: |
Role of Artificial Intelligence in COVID-19 Detection |
| المؤلفون: |
Gudigar, A, Raghavendra, U, Nayak, S, Ooi, CP, Chan, WY, Gangavarapu, MR, Dharmik, C, Samanth, J, Kadri, NA, Hasikin, K, Barua, PD, Chakraborty, S, Ciaccio, EJ, Acharya, UR |
| بيانات النشر: |
MDPI |
| سنة النشر: |
2021 |
| المجموعة: |
University of Technology Sydney: OPUS - Open Publications of UTS Scholars |
| مصطلحات موضوعية: |
0301 Analytical Chemistry, 0502 Environmental Science and Management, 0602 Ecology, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering, Analytical Chemistry |
| الوصف: |
The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and affected the livelihood of many more people. Early and rapid detection of COVID-19 is a challenging task for the medical community, but it is also crucial in stopping the spread of the SARS-CoV-2 virus. Prior substantiation of artificial intelligence (AI) in various fields of science has encouraged researchers to further address this problem. Various medical imaging modalities including X-ray, computed tomography (CT) and ultrasound (US) using AI techniques have greatly helped to curb the COVID-19 outbreak by assisting with early diagnosis. We carried out a systematic review on state-of-the-art AI techniques applied with X-ray, CT, and US images to detect COVID-19. In this paper, we discuss approaches used by various authors and the significance of these research efforts, the potential challenges, and future trends related to the implementation of an AI system for disease detection during the COVID-19 pandemic. |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
Sensors; Sensors, 2021, 21, (23); http://hdl.handle.net/10453/152000Test |
| الإتاحة: |
http://hdl.handle.net/10453/152000Test |
| حقوق: |
info:eu-repo/semantics/openAccess |
| رقم الانضمام: |
edsbas.E2305451 |
| قاعدة البيانات: |
BASE |
