16 citations · 17 across the 3 of their papers we have counts for
3 papers
An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm
Ahmadreza Shateri, Negar Nourani, Morteza Dorrigiv +1
The recent global spread of monkeypox, particularly in regions where it has not historically been prevalent, has raised significant public health concerns. Early and accurate diagn…
Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
Hamid Nasiri, Ghazal Kheyroddin, Morteza Dorrigiv +4
The COVID-19 disease was first discovered in Wuhan, China, and spread quickly worldwide. After the COVID-19 pandemic, many researchers have begun to identify a way to diagnose the…
Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM
Mobina Ezzoddin, Hamid Nasiri, Morteza Dorrigiv
The Coronavirus was detected in Wuhan, China in late 2019 and then led to a pandemic with a rapid worldwide outbreak. The number of infected people has been swiftly increasing sinc…