[HTML][HTML] A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Administrative and medical processes of the healthcare organizations are rapidly changing
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
because of the use of artificial intelligence (AI) systems. This change demonstrates the …
Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review
The outbreak of the COVID-19 pandemic is unarguably the biggest catastrophe of the 21st
century, probably the most significant global crisis after the second world war. The rapid …
century, probably the most significant global crisis after the second world war. The rapid …
Blockchain-federated-learning and deep learning models for covid-19 detection using ct imaging
With the increase of COVID-19 cases worldwide, an effective way is required to diagnose
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …
Deep learning and medical image analysis for COVID-19 diagnosis and prediction
The coronavirus disease 2019 (COVID-19) pandemic has imposed dramatic challenges to
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
NAGNN: classification of COVID‐19 based on neighboring aware representation from deep graph neural network
COVID‐19 pneumonia started in December 2019 and caused large casualties and huge
economic losses. In this study, we intended to develop a computer‐aided diagnosis system …
economic losses. In this study, we intended to develop a computer‐aided diagnosis system …
Label-free segmentation of COVID-19 lesions in lung CT
Scarcity of annotated images hampers the building of automated solution for reliable COVID-
19 diagnosis and evaluation from CT. To alleviate the burden of data annotation, we herein …
19 diagnosis and evaluation from CT. To alleviate the burden of data annotation, we herein …
SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning
Abstract Coronavirus disease (COVID-19) broke out at the end of 2019, and has resulted in
an ongoing global pandemic. Segmentation of pneumonia infections from chest computed …
an ongoing global pandemic. Segmentation of pneumonia infections from chest computed …
Detection and severity classification of COVID-19 in CT images using deep learning
Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients.
In this study, a cascaded system is proposed to segment the lung, detect, localize, and …
In this study, a cascaded system is proposed to segment the lung, detect, localize, and …
[HTML][HTML] Deep learning for detecting macroplastic litter in water bodies: A review
Plastic pollution in water bodies is an unresolved environmental issue that damages all
aquatic environments, and causes economic and health problems. Accurate detection of …
aquatic environments, and causes economic and health problems. Accurate detection of …
Lung Infection Segmentation for COVID‐19 Pneumonia Based on a Cascade Convolutional Network from CT Images
R Ranjbarzadeh… - BioMed Research …, 2021 - Wiley Online Library
The COVID‐19 pandemic is a global, national, and local public health concern which has
caused a significant outbreak in all countries and regions for both males and females …
caused a significant outbreak in all countries and regions for both males and females …