Convolutional Neural Network dalam Citra Medis

D Gunawan, H Setiawan - KONSTELASI: Konvergensi Teknologi dan …, 2022 - ojs.uajy.ac.id
Penggunaan deep learning dapat diaplikasikan di berbagai bidang seperti pendidikan,
bisnis, pertanian, pertambangan, internet of things (IoT), keamanan cyber, perkiraan cuaca …

[HTML][HTML] Application of artificial intelligence in diagnosing COVID-19 disease symptoms on chest X-rays: A systematic review

J Kufel, K Bargieł, M Koźlik, Ł Czogalik… - … Journal of Medical …, 2022 - ncbi.nlm.nih.gov
This systematic review focuses on using artificial intelligence (AI) to detect COVID-19
infection with the help of X-ray images. Methodology: In January 2022, the authors searched …

[PDF][PDF] A review of Deep learning methods in the study, prediction and management of COVID-19

J Abdollahi - 10 th International Conference on Innovation and …, 2020 - researchgate.net
Artificial intelligence has been considered one of the branches of computer science in the
world, especially in Iran, for many years and has led to significant changes in medicine …

Chest X‐Ray Images to Differentiate COVID‐19 from Pneumonia with Artificial Intelligence Techniques

R Islam, M Tarique - International Journal of Biomedical …, 2022 - Wiley Online Library
This paper presents an automated and noninvasive technique to discriminate COVID‐19
patients from pneumonia patients using chest X‐ray images and artificial intelligence. The …

A dual-stage vocabulary of features (VoF)-based technique for COVID-19 variants' classification

S Jamil, MU Rahman - Applied Sciences, 2021 - mdpi.com
Novel coronavirus, known as COVID-19, is a very dangerous virus. Initially detected in
China, it has since spread all over the world causing many deaths. There are several …

Artificial intelligence based sentence level sentiment analysis of COVID-19

S Rukhsar, MJ Awan, U Naseem… - Computer Systems …, 2023 - researchers.mq.edu.au
Web-blogging sites such as Twitter and Facebook are heavily influenced by emotions,
sentiments, and data in the modern era. Twitter, a widely used microblogging site where …

Chest X-ray and CT scan classification using ensemble learning through transfer learning

SA Siddiqui, N Fatima, A Ahmad - EAI Endorsed Transactions on …, 2022 - publications.eai.eu
COVID-19 has posed an extraordinary challenge to the entire world. As the number of
COVID-19 cases continues to climb around the world, medical experts are facing an …

Comparison of diagnostic accuracy of the artificial intelligence system with human readers in the diagnosis of portable chest x-rays during the COVID-19 pandemic

LR David, W Elshami, A Alshuweihi… - … in Biomedical and …, 2023 - journals.lww.com
Background: Evaluating the performance of the available machine learning software is
fundamental to ensure trustworthiness and improve automated diagnosis. This study …

The use of digital health solutions for COVID-19: pandemic surveillance, remote monitoring and big data

V Poberezhets, MJ Kasteleyn… - Digital Respiratory …, 2023 - books.google.com
The coronavirus disease 2019 (COVID-19) pandemic has necessitated the implementation
of digital health solutions to alleviate the strain on healthcare systems. The chapter provides …

[HTML][HTML] A comparative analysis of machine learning algorithms for detecting COVID-19 using lung X-ray images

S Hamal, BK Mishra, R Baldock, W Sayers… - Decision Analytics …, 2024 - Elsevier
Abstract Machine intelligence has the potential to play a significant role in diagnosing,
managing, and guiding the treatment of disease, which supports the rising demands on …