AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems
IH Sarker - SN Computer Science, 2022 - Springer
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …
Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions
IH Sarker - SN computer science, 2021 - Springer
Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …
[HTML][HTML] Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images
Brain tumor localization and segmentation from magnetic resonance imaging (MRI) are hard
and important tasks for several applications in the field of medical analysis. As each brain …
and important tasks for several applications in the field of medical analysis. As each brain …
Monkeypox virus detection using pre-trained deep learning-based approaches
Monkeypox virus is emerging slowly with the decline of COVID-19 virus infections around
the world. People are afraid of it, thinking that it would appear as a pandemic like COVID-19 …
the world. People are afraid of it, thinking that it would appear as a pandemic like COVID-19 …
Deep learning for COVID-19 detection based on CT images
W Zhao, W Jiang, X Qiu - Scientific Reports, 2021 - nature.com
COVID-19 has tremendously impacted patients and medical systems globally. Computed
tomography images can effectively complement the reverse transcription-polymerase chain …
tomography images can effectively complement the reverse transcription-polymerase chain …
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
The role of machine learning algorithms for diagnosing diseases
Nowadays, machine learning algorithms have become very important in the medical sector,
especially for diagnosing disease from the medical database. Many companies using these …
especially for diagnosing disease from the medical database. Many companies using these …
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 …
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images
The Covid-19 pandemic is the defining global health crisis of our time. Chest X-Rays (CXR)
have been an important imaging modality for assisting in the diagnosis and management of …
have been an important imaging modality for assisting in the diagnosis and management of …
Collaborative federated learning for healthcare: Multi-modal covid-19 diagnosis at the edge
Despite significant improvements over the last few years, cloud-based healthcare
applications continue to suffer from poor adoption due to their limitations in meeting stringent …
applications continue to suffer from poor adoption due to their limitations in meeting stringent …