Demystifying supervised learning in healthcare 4.0: A new reality of transforming diagnostic medicine
The global healthcare sector continues to grow rapidly and is reflected as one of the fastest-
growing sectors in the fourth industrial revolution (4.0). The majority of the healthcare …
growing sectors in the fourth industrial revolution (4.0). The majority of the healthcare …
Review on the evaluation and development of artificial intelligence for COVID-19 containment
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …
substantiated promise of continuous applicability in the real world domain. Artificial …
Real-time polyp detection, localization and segmentation in colonoscopy using deep learning
Computer-aided detection, localization, and segmentation methods can help improve
colonoscopy procedures. Even though many methods have been built to tackle automatic …
colonoscopy procedures. Even though many methods have been built to tackle automatic …
Explainable artificial intelligence methods in combating pandemics: A systematic review
Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
based solutions to COVID-19 challenges during the pandemic, few have made a significant …
Deep learning models for COVID-19 infected area segmentation in CT images
Recent studies indicated that detecting radiographic patterns on CT chest scans can yield
high sensitivity and specificity for COVID-19 detection. In this work, we scrutinize the …
high sensitivity and specificity for COVID-19 detection. In this work, we scrutinize the …
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework
With the global outbreak of COVID-19 in early 2020, rapid diagnosis of COVID-19 has
become the urgent need to control the spread of the epidemic. In clinical settings, lung …
become the urgent need to control the spread of the epidemic. In clinical settings, lung …
Machine learning-based research for COVID-19 detection, diagnosis, and prediction: A survey
The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …
the whole world. The absence of treatment has motivated research in all fields to deal with it …
An effective deep neural network for lung lesions segmentation from COVID-19 CT images
Automatic segmentation of lung lesions from COVID-19 computed tomography (CT) images
can help to establish a quantitative model for diagnosis and treatment. For this reason, this …
can help to establish a quantitative model for diagnosis and treatment. For this reason, this …
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
Artificial intelligence (AI) and computer vision (CV) methods become reliable to extract
features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests …
features from radiological images, aiding COVID-19 diagnosis ahead of the pathogenic tests …
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks
This article presents a systematic overview of artificial intelligence (AI) and computer vision
strategies for diagnosing the coronavirus disease of 2019 (COVID-19) using computerized …
strategies for diagnosing the coronavirus disease of 2019 (COVID-19) using computerized …