[HTML][HTML] Comparative study of IoT-and AI-based computing disease detection approaches
The emergence of different computing methods such as cloud-, fog-, and edge-based
Internet of Things (IoT) systems has provided the opportunity to develop intelligent systems …
Internet of Things (IoT) systems has provided the opportunity to develop intelligent systems …
Detection of Prosthetic Loosening in Hip and Knee Arthroplasty Using Machine Learning: A Systematic Review and Meta-Analysis
MS Kim, JJ Kim, KH Kang, JH Lee, Y In - Medicina, 2023 - mdpi.com
Background: prosthetic loosening after hip and knee arthroplasty is one of the most common
causes of joint arthroplasty failure and revision surgery. Diagnosis of prosthetic loosening is …
causes of joint arthroplasty failure and revision surgery. Diagnosis of prosthetic loosening is …
[HTML][HTML] Brain Tumor Classification based on Improved Stacked Ensemble Deep Learning Methods
ZHN Al-Azzwi, AN Nazarov - Asian Pacific journal of cancer …, 2023 - ncbi.nlm.nih.gov
Objective: Brain Tumor diagnostic prediction is essential for assisting radiologists and other
healthcare professionals in identifying and classifying brain tumors. For the diagnosis and …
healthcare professionals in identifying and classifying brain tumors. For the diagnosis and …
Machine learning for detecting total knee arthroplasty implant loosening on plain radiographs
MS Kim, RK Cho, SC Yang, JH Hur, Y In - Bioengineering, 2023 - mdpi.com
(1) Background: The purpose of this study was to investigate whether the loosening of total
knee arthroplasty (TKA) implants could be detected accurately on plain radiographs using a …
knee arthroplasty (TKA) implants could be detected accurately on plain radiographs using a …
Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization
Diabetes mellitus (DM) can cause chronic foot issues and severe infections, including
Diabetic Foot Ulcers (DFUs) that heal slowly due to insufficient blood flow. A recurrence of …
Diabetic Foot Ulcers (DFUs) that heal slowly due to insufficient blood flow. A recurrence of …
Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning
Background and motivations Antenatal or prenatal hydronephrosis (AHN) is a common
kidney complication in unborn children. While AHN is generally benign and resolves over …
kidney complication in unborn children. While AHN is generally benign and resolves over …
Enhancing intima-media complex segmentation with a multi-stage feature fusion-based novel deep learning framework
Cardiovascular diseases are a leading cause of mortality worldwide. This study introduces
an innovative end-to-end pipeline for automated measurement of Carotid Intima-Media …
an innovative end-to-end pipeline for automated measurement of Carotid Intima-Media …
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images
Tuberculosis (TB) is a chronic infectious lung disease, which caused the death of about 1.5
million people in 2020 alone. Therefore, it is important to detect TB accurately at an early …
million people in 2020 alone. Therefore, it is important to detect TB accurately at an early …
A multi-branch network to detect post-operative complications following hip arthroplasty on X-ray images
S Guo, J Zhang, H Li, J Zhang… - Frontiers in Bioengineering …, 2023 - frontiersin.org
Background: Postoperative complications following total hip arthroplasty (THA) often require
revision surgery. X-rays are usually used to detect such complications, but manually …
revision surgery. X-rays are usually used to detect such complications, but manually …
A deep learning-based automatic segmentation and 3D visualization technique for intracranial hemorrhage detection using computed tomography images
Intracranial hemorrhage (ICH) occurs when blood leaks inside the skull as a result of trauma
to the skull or due to medical conditions. ICH usually requires immediate medical and …
to the skull or due to medical conditions. ICH usually requires immediate medical and …