DiagCovidPNA: diagnosing and differentiating COVID-19, viral and bacterial pneumonia from chest X-ray images using a hybrid specialized deep learning approach
V Mohammadian Takaloo, M Hashemzadeh… - Soft Computing, 2024 - Springer
In this study, the DiagCovidPNA method is proposed to aid in diagnosing and differentiating
COVID-19 disease and viral and bacterial pneumonia (PNA) from chest X-ray (CXR) …
COVID-19 disease and viral and bacterial pneumonia (PNA) from chest X-ray (CXR) …
[Retracted] Study of Node Distribution and Density Optimization in Mobile Sensor Network 3D Space
M Gu, C Gao, J Lyu, W Fan… - … and Mobile Computing, 2021 - Wiley Online Library
Mobile sensor network is applied in information collection in emergencies. As the mobile
sensor network in real environment is widely deployed with different height and the …
sensor network in real environment is widely deployed with different height and the …
A New Fuzzy Bio-Inspired Based Classification to Cancer Detection
M Abdolrazzagh-Nezhad, S Izadpanah - 2023 - researchsquare.com
There are several cancer detection methods with their own disadvantages in flexibility, non-
linear complexity and sensitive in imbalance data. In this paper, a new fuzzy bio-inspired …
linear complexity and sensitive in imbalance data. In this paper, a new fuzzy bio-inspired …
Improving KNN by Gases Brownian Motion Optimization Algorithm to Breast Cancer Detection
M Abdolrazzagh-Nezhad, SP Mahyabadi… - Data Science: Journal …, 2020 - talenta.usu.ac.id
In the last decade, the application of information technology and artificial intelligence
algorithms are widely developed in collecting information of cancer patients and detecting …
algorithms are widely developed in collecting information of cancer patients and detecting …