U-net and its variants for medical image segmentation: A review of theory and applications
U-net is an image segmentation technique developed primarily for image segmentation
tasks. These traits provide U-net with a high utility within the medical imaging community …
tasks. These traits provide U-net with a high utility within the medical imaging community …
Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
[HTML][HTML] Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases
Abstract Corona Virus Disease (COVID-19) has been announced as a pandemic and is
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …
COVID-19 image classification using deep learning: Advances, challenges and opportunities
Abstract Corona Virus Disease-2019 (COVID-19), caused by Severe Acute Respiratory
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
[HTML][HTML] Utilisation of deep learning for COVID-19 diagnosis
The COVID-19 pandemic that began in 2019 has resulted in millions of deaths worldwide.
Over this period, the economic and healthcare consequences of COVID-19 infection in …
Over this period, the economic and healthcare consequences of COVID-19 infection in …
Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
[HTML][HTML] The role of artificial intelligence in fighting the COVID-19 pandemic
The first few months of 2020 have profoundly changed the way we live our lives and carry
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …
out our daily activities. Although the widespread use of futuristic robotaxis and self-driving …
[HTML][HTML] 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 …
[HTML][HTML] Covid-net ct-2: Enhanced deep neural networks for detection of covid-19 from chest ct images through bigger, more diverse learning
The COVID-19 pandemic continues to rage on, with multiple waves causing substantial
harm to health and economies around the world. Motivated by the use of computed …
harm to health and economies around the world. Motivated by the use of computed …
Attention-guided deep neural network with multi-scale feature fusion for liver vessel segmentation
Liver vessel segmentation is fast becoming a key instrument in the diagnosis and surgical
planning of liver diseases. In clinical practice, liver vessels are normally manual annotated …
planning of liver diseases. In clinical practice, liver vessels are normally manual annotated …