Feature extraction using a residual deep convolutional neural network (ResNet-152) and optimized feature dimension reduction for MRI brain tumor classification

S Athisayamani, RS Antonyswamy, V Sarveshwaran… - Diagnostics, 2023 - mdpi.com
One of the top causes of mortality in people globally is a brain tumor. Today, biopsy is
regarded as the cornerstone of cancer diagnosis. However, it faces difficulties, including low …

Analytical review on deep learning and IoT for smart healthcare monitoring system

S Yempally, SK Singh, S Velliangiri - International Journal of …, 2022 - emerald.com
RETRACTED: Analytical review on deep learning and IoT for smart healthcare monitoring
system | Emerald Insight Books and journals Case studies Expert Briefings Open Access …

Advancements in healthcare services using deep learning techniques

M Rana, M Bhushan - 2022 International mobile and embedded …, 2022 - ieeexplore.ieee.org
Deep learning (DL) is the technique encouraging clinical staff and physicians to work on a
variety of data using DL algorithms. DL techniques have given a rise in the medical facilities …

Research and progress on the mechanism of lower urinary tract neuromodulation: a literature review

S Pang, J Yan - PeerJ, 2024 - peerj.com
The storage and periodic voiding of urine in the lower urinary tract are regulated by a
complex neural control system that includes the brain, spinal cord, and peripheral autonomic …

Introduction to Computer Vision Aided Data Analytics in Healthcare Industry 4.0

R Kolikipogu, D Ramya, M Siddiqui… - Healthcare …, 2024 - taylorfrancis.com
The entire world is transforming to Healthcare Industry 4.0, where the transition is happening
in a completely digital form and the need for complete automation is in process. The entire …

Review of an IoT-based remote patient health monitoring system

S Yempally, SK Singh… - 2021 Smart Technologies …, 2021 - ieeexplore.ieee.org
IoT combines the internet and things, which have the most research since it is used in all the
applications. Embedding IOT with health monitoring systems forms advanced applications in …

IoT-based ensemble method on PCG signal classification to predict heart diseases

E Daniel, S Durga, S Iwin Thanakumar Joseph… - … Communication for 5G …, 2022 - Springer
Heart disease is the leading cause of death in the world, and early detection of
cardiovascular disease is important for maintaining overall health conditions. In the medical …

Disease analysis and prediction using digital twins and big data analytics

R Rajagopal, P Karthikeyan, E Menaka… - New Approaches to …, 2023 - igi-global.com
The data generated by the big data-based clinical need analysis plays a key role in
improving the consideration feature, decreasing waste and blunder, and reducing treatment …

Comparative Analysis of Liver diseases by using Machine Learning Techniques

DP Rajan, KS Kannan, P Divya… - … on Emerging Smart …, 2022 - ieeexplore.ieee.org
In a human body function of the liver is important. Many persons are suffering from liver
disease, but they don't know it. The identification of liver diseases in the early stage helps a …

Future of Computer Vision Application in Digital Healthcare

RK Bharti, MA Khan, R Narayanamurthy… - Healthcare …, 2023 - taylorfrancis.com
A relatively young artificial intelligence technology revolutionizes how humans and
machines partner. The role of computer vision is to provide intelligent computer algorithms …