104 citations · 223 across the 12 of their papers we have counts for
5 papers · 1 filter
Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
Mohammad Reza Abbasniya, Sayed Ali Sheikholeslamzadeh, Hamid Nasiri +1
Breast cancer is the most common cancer among women worldwide. Early-stage diagnosis of breast cancer can significantly improve the efficiency of treatment. Computer-aided diagnosi…
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…
A novel framework based on deep learning and ANOVA feature selection method for diagnosis of COVID-19 cases from chest X-ray Images
Hamid Nasiri, Seyyed Ali Alavi
The new coronavirus (known as COVID-19) was first identified in Wuhan and quickly spread worldwide, wreaking havoc on the economy and people's everyday lives. Fever, cough, sore th…
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost
Hamid Nasiri, Sharif Hasani
In late 2019 and after COVID-19 pandemic in the world, many researchers and scholars have tried to provide methods for detection of COVID-19 cases. Accordingly, this study focused…