An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review
Background Artificial intelligence (AI) has become a prominent technique for medical
diagnosis and represents an essential role in detecting brain tumors. Although AI-based …
diagnosis and represents an essential role in detecting brain tumors. Although AI-based …
Vision-based human fall detection systems using deep learning: A review
Human fall is one of the very critical health issues, especially for elders and disabled people
living alone. The number of elder populations is increasing steadily worldwide. Therefore …
living alone. The number of elder populations is increasing steadily worldwide. Therefore …
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …
large amount of data to achieve exceptional performance. Unfortunately, many applications …
Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine
Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …
understanding of cancer's biology and behavior in response to standard therapy. It also …
Comparison of histogram-based gradient boosting classification machine, random Forest, and deep convolutional neural network for pavement raveling severity …
H Nhat-Duc, T Van-Duc - Automation in Construction, 2023 - Elsevier
Raveling is a widely encountered defect found in asphalt pavements. Raveling deteriorates
riding safety and accelerates the development of other pavement defects. Therefore, timely …
riding safety and accelerates the development of other pavement defects. Therefore, timely …
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A …
Abstract Background COVLIAS 1.0: an automated lung segmentation was designed for
COVID-19 diagnosis. It has issues related to storage space and speed. This study shows …
COVID-19 diagnosis. It has issues related to storage space and speed. This study shows …
Brain tumor characterization using radiogenomics in artificial intelligence framework
Simple Summary Radiogenomics is a relatively new advancement in the understanding of
the biology and behaviour of cancer in response to conventional treatments. One of the most …
the biology and behaviour of cancer in response to conventional treatments. One of the most …
Development of deep learning methodology for maize seed variety recognition based on improved swin transformer
C Bi, N Hu, Y Zou, S Zhang, S Xu, H Yu - Agronomy, 2022 - mdpi.com
In order to solve the problems of high subjectivity, frequent error occurrence and easy
damage of traditional corn seed identification methods, this paper combines deep learning …
damage of traditional corn seed identification methods, this paper combines deep learning …
A deep convolutional neural network for the early detection of heart disease
Heart disease is one of the key contributors to human death. Each year, several people die
due to this disease. According to the WHO, 17.9 million people die each year due to heart …
due to this disease. According to the WHO, 17.9 million people die each year due to heart …
CNN deep learning-based image to vector depiction
In the computational science and engineering domains, the depiction of picture information
remains an intricate problem. Such a description needs an accurate recognition of various …
remains an intricate problem. Such a description needs an accurate recognition of various …