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Smart face masks for Covid-19 pandemic management: A concise review of emerging architectures, challenges and future research directions
Smart sensing technology has been playing tremendous roles in digital healthcare
management over time with great impacts. Lately, smart sensing has awoken the world by …
management over time with great impacts. Lately, smart sensing has awoken the world by …
[PDF][PDF] Deep learning techniques for COVID-19 detection based on chest X-ray and CT-scan images: a short review and future perspective
Today, humans live in the era of rapid growth in electronic devices that are based on
artificial intelligence, including the significant growth in the manufacture of machines that …
artificial intelligence, including the significant growth in the manufacture of machines that …
To that of artificial intelligence, passing through business intelligence
Business intelligence (BI) is no longer adequate to handle the day-to-day operations of any
firm considering the ever-increasing volume of data and the resulting overload. As the …
firm considering the ever-increasing volume of data and the resulting overload. As the …
[PDF][PDF] The distinction between R-CNN and Fast RCNN in image analysis: a performance comparison
Deep learning techniques have become vital in many fields in the modern era because they
are excellent at analysing and predicting real big data to act in different situations. Although …
are excellent at analysing and predicting real big data to act in different situations. Although …
Optimal virtual machine selection for anomaly detection using a swarm intelligence approach
Cloud computing plays a significant role in Healthcare Service (HCS) applications and
rapidly improves it. A significant challenge is the selection of Virtual Machine (VM) in order to …
rapidly improves it. A significant challenge is the selection of Virtual Machine (VM) in order to …
[PDF][PDF] Artificial intelligence techniques for cancer detection and classification: review study
Cancer is the general name for a group of more than 100 diseases. Although cancer
includes different types of diseases, they all start because abnormal cells grow out of control …
includes different types of diseases, they all start because abnormal cells grow out of control …
A hybrid tumour detection and classification based on machine learning
Every excess tissue or impaired production of brain tissue in the human embryo is known as
something of a tumor. Inside the brain, there may have been a tumor or any other orifice …
something of a tumor. Inside the brain, there may have been a tumor or any other orifice …
Deep Learning Techniques for Brain Lesion Classification Using Various MRI (from 2010 to 2022): Review and Challenges
M Joshi, BK Singh - Medinformatics, 2024 - ojs.bonviewpress.com
Brain tumors are conditions brought on by the development of aberrant brain cells. They are
classified into non-cancerous (benign) and cancerous (malignant). The morbidity and …
classified into non-cancerous (benign) and cancerous (malignant). The morbidity and …
Segmentation of brain tumor using deep learning methods: a review
In the world of medical imaging, detecting brain tumors is a difficult challenge. Manual
segmentation of brain tumors from a vast number of MRI images for diagnosis was a …
segmentation of brain tumors from a vast number of MRI images for diagnosis was a …
(Retracted) Deep belief network-based image processing for local directional segmentation in brain tumor detection
The Editor-in-Chief and the publisher have retracted this article, which was submitted as part
of a guest-edited special section. An investigation uncovered evidence of systematic …
of a guest-edited special section. An investigation uncovered evidence of systematic …