The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things
S Aminizadeh, A Heidari, S Toumaj, M Darbandi… - Computer methods and …, 2023 - Elsevier
Medical data processing has grown into a prominent topic in the latest decades with the
primary goal of maintaining patient data via new information technologies, including the …
primary goal of maintaining patient data via new information technologies, including the …
Cancer treatment and toxicity outlook of nanoparticles
Diversified nanosystems with tunable physicochemical attributes have emerged as potential
solution to globally devastating cancer by offering novel possibilities for improving the …
solution to globally devastating cancer by offering novel possibilities for improving the …
Interactive medical image annotation using improved Attention U-net with compound geodesic distance
Y Zhang, J Chen, X Ma, G Wang, UA Bhatti… - Expert systems with …, 2024 - Elsevier
Accurate and massive medical image annotation data is crucial for diagnosis, surgical
planning, and deep learning in the development of medical images. However, creating large …
planning, and deep learning in the development of medical images. However, creating large …
The influence of sac centreline on saccular aneurysm rupture: Computational study
H Jiang, Z Lu, MB Gerdroodbary, A Sabernaeemi… - Scientific Reports, 2023 - nature.com
The geometric characteristics of a saccular aneurysm play a crucial role in its rupturing. This
article thoroughly investigates the impact of the sac centerline on aneurysm rupture, with a …
article thoroughly investigates the impact of the sac centerline on aneurysm rupture, with a …
Breast cancer diagnosis using evolving deep convolutional neural network based on hybrid extreme learning machine technique and improved chimp optimization …
Today, diagnostic systems based on artificial intelligence play a significant role in confirming
doctors' recommendations. These systems are becoming effective tools in clinical treatment …
doctors' recommendations. These systems are becoming effective tools in clinical treatment …
Heart failure patients monitoring using IoT-based remote monitoring system
Intelligent health monitoring systems are becoming more important and popular as
technology advances. Nowadays, online services are replacing physical infrastructure in …
technology advances. Nowadays, online services are replacing physical infrastructure in …
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service
S Aminizadeh, A Heidari, M Dehghan, S Toumaj… - Artificial Intelligence in …, 2024 - Elsevier
The healthcare sector, characterized by vast datasets and many diseases, is pivotal in
sha** community health and overall quality of life. Traditional healthcare methods, often …
sha** community health and overall quality of life. Traditional healthcare methods, often …
[HTML][HTML] Vascular endothelial growth factor (VEGF) delivery approaches in regenerative medicine
The utilization of growth factors in the process of tissue regeneration has garnered
significant interest and has been the subject of extensive research. However, despite the …
significant interest and has been the subject of extensive research. However, despite the …
An overview of selective laser sintering 3D printing technology for biomedical and sports device applications: Processes, materials, and applications
Y Song, Y Ghafari, A Asefnejad, D Toghraie - Optics & Laser Technology, 2024 - Elsevier
Over the past couple of years, 3D printing has emerged as an increasingly powerful
manufacturing platform in medical engineering. These technologies have greatly enhanced …
manufacturing platform in medical engineering. These technologies have greatly enhanced …
Brain tumor classification from MRI using image enhancement and convolutional neural network techniques
The independent detection and classification of brain malignancies using magnetic
resonance imaging (MRI) can present challenges and the potential for error due to the …
resonance imaging (MRI) can present challenges and the potential for error due to the …