Engineered two-dimensional nanomaterials based diagnostics integrated with internet of medical things (IoMT) for COVID-19
More than four years have passed since an inimitable coronavirus disease (COVID-19)
pandemic hit the globe in 2019 after an uncontrolled transmission of the severe acute …
pandemic hit the globe in 2019 after an uncontrolled transmission of the severe acute …
Overview of AI-Models and Tools in Embedded IIoT Applications
The integration of Artificial Intelligence (AI) models in Industrial Internet of Things (IIoT)
systems has emerged as a pivotal area of research, offering unprecedented opportunities for …
systems has emerged as a pivotal area of research, offering unprecedented opportunities for …
TeleStroke: real-time stroke detection with federated learning and YOLOv8 on edge devices
Stroke, a life-threatening medical condition, necessitates immediate intervention for optimal
outcomes. Timely diagnosis and treatment play a crucial role in reducing mortality and …
outcomes. Timely diagnosis and treatment play a crucial role in reducing mortality and …
FACNN: fuzzy‑based adaptive convolution neural network for classifying COVID‑19 in noisy CXR images
S Suganyadevi, V Seethalakshmi - Medical & biological engineering & …, 2024 - Springer
COVID-19 detection using chest X-rays (CXR) has evolved as a significant method for early
diagnosis of the pandemic disease. Clinical trials and methods utilize X-ray images with …
diagnosis of the pandemic disease. Clinical trials and methods utilize X-ray images with …
The Superiority of Fine-tuning over Full-training for the Efficient Diagnosis of COPD from CXR Images
VI Agughasi - Inteligencia Artificial, 2024 - journal.iberamia.org
This research investigates the use of deep learning for diagnosing lung diseases like
Chronic Obstructive Pulmonary Disease (COPD) using Chest X-rays (CXR). The study …
Chronic Obstructive Pulmonary Disease (COPD) using Chest X-rays (CXR). The study …
Multi-scale Lesion Feature Fusion and Location-Aware for Chest Multi-disease Detection
Y Yuan, L Liu, X Yang, L Liu, Q Huang - Journal of Imaging Informatics in …, 2024 - Springer
Accurately identifying and locating lesions in chest X-rays has the potential to significantly
enhance diagnostic efficiency, quality, and interpretability. However, current methods …
enhance diagnostic efficiency, quality, and interpretability. However, current methods …
[PDF][PDF] Classification of pathologies on digital chest radiographs using machine learning methods.
M Aitimov, A Shekerbek, I Pestunov… - International Journal of …, 2024 - academia.edu
This article is devoted to the research and development of methods for classifying
pathologies on digital chest radiographs using two different machine learning approaches …
pathologies on digital chest radiographs using two different machine learning approaches …
Real-time stroke detection using deep learning and federated learning
Stroke is a devastating and life-threatening medical condition that demands immediate
intervention. Timely diagnosis and treatment are paramount in reducing mortality and …
intervention. Timely diagnosis and treatment are paramount in reducing mortality and …