A Review of Biosensors and Artificial Intelligence in Healthcare and Their Clinical Significance
In the past decade, a substantial increase in medical data from various sources, including
wearable sensors, medical imaging, personal health records, and public health …
wearable sensors, medical imaging, personal health records, and public health …
Artificial intelligence and biosensors in healthcare and its clinical relevance: A review
Data generated from sources such as wearable sensors, medical imaging, personal health
records, and public health organizations have resulted in a massive information increase in …
records, and public health organizations have resulted in a massive information increase in …
[HTML][HTML] Using U-Net network for efficient brain tumor segmentation in MRI images
Abstract Magnetic Resonance Imaging (MRI) is the most commonly used non-intrusive
technique for medical image acquisition. Brain tumor segmentation is the process of …
technique for medical image acquisition. Brain tumor segmentation is the process of …
A hybrid approach for MRI brain image segmentation using KIFECM-IPSO algorithm
A hybrid approach for brain magnetic resonance imaging (MRI) image segmentation is
proposed, that combines the intuitionistic particle swarm optimization (IPSO) algorithm and …
proposed, that combines the intuitionistic particle swarm optimization (IPSO) algorithm and …
A multi-scale channel attention network for prostate segmentation
Prostate cancer is one of the most common malignant tumors in men. Magnetic resonance
imaging (MRI) has evolved to an important tool for the diagnosis of prostate cancer …
imaging (MRI) has evolved to an important tool for the diagnosis of prostate cancer …
Deep learning approaches to automatic chronic venous disease classification
M Barulina, A Sanbaev, S Okunkov, I Ulitin… - Mathematics, 2022 - mdpi.com
Chronic venous disease (CVD) occurs in a substantial proportion of the world's population. If
the onset of CVD looks like a cosmetic defect, over time, it might be transformed into serious …
the onset of CVD looks like a cosmetic defect, over time, it might be transformed into serious …
DRD-UNet, a UNet-like architecture for multi-class breast cancer semantic segmentation
Staining of histological slides with Hematoxylin and Eosin is widely used in clinical and
laboratory settings as these dyes reveal nuclear structures as well as cytoplasm and …
laboratory settings as these dyes reveal nuclear structures as well as cytoplasm and …
Texture-semantic collaboration network for ORSI salient object detection
Salient object detection (SOD) in optical remote sensing images (ORSIs) has become
increasingly popular recently. Due to the characteristics of ORSIs, ORSI-SOD is full of …
increasingly popular recently. Due to the characteristics of ORSIs, ORSI-SOD is full of …
BMDENet: Bi-directional Modality Difference Elimination Network for Few-shot RGB-T Semantic Segmentation
Y Zhao, K Song, Y Zhang, Y Yan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Few-shot semantic segmentation (FSS) aims to segment the target prospects of query
images using a few labeled support samples. Compared with the fully-supervised methods …
images using a few labeled support samples. Compared with the fully-supervised methods …
Smart Pipe Inspection Robot With In-Chassis Motor Actuation Design and Integrated AI-Powered Defect Detection System
In the contemporary world, inspection operations have become a critical component of
infrastructure maintenance. Over the years, the demand for comprehensive inspection of …
infrastructure maintenance. Over the years, the demand for comprehensive inspection of …