Advances in medical image analysis: A comprehensive survey of lung infection detection

S Kordnoori, M Sabeti, H Mostafaei… - IET Image …, 2024 - Wiley Online Library
This research investigates advanced approaches in medical image analysis, specifically
focusing on segmentation and classification techniques, as well as their integration into multi …

Novel large empirical study of deep transfer learning for COVID-19 classification based on CT and X-ray images

M Almutaani, T Turki, YH Taguchi - Scientific Reports, 2024 - nature.com
The early and highly accurate prediction of COVID-19 based on medical images can speed
up the diagnostic process and thereby mitigate disease spread; therefore, develo** AI …

Acoustic COVID-19 Detection Using Multiple Instance Learning

M Reiter, P Franz - IEEE Journal of Biomedical and Health …, 2024 - ieeexplore.ieee.org
In the COVID-19 pandemic, a rigorous testing scheme was crucial. However, tests can be
time-consuming and expensive. A machine learning-based diagnostic tool for audio …

SARS detection in chest CT scan images using the bootstrapped ViT-B/16 model

JK Appati, B Ziamah, HA Akrofi, AA Dodoo - Iran Journal of Computer …, 2025 - Springer
This study investigates the application of vision transformer (ViT) models for the automated
detection of COVID-19 from chest CT scan images. While convolutional neural networks …

A Highly Secure and Accurate System for COVID-19 Diagnosis from Chest X-ray Images

TT Nguyen, T Chen, I Philippi, QB Phan… - 2024 IEEE 67th …, 2024 - ieeexplore.ieee.org
Global healthcare systems face growing pressure as populations rise. This can lead to
longer wait times and an increased risk of treatment delays or misdiagnosis. Artificial …

[PDF][PDF] A FEASIBILITY STUDY ON ARTIFICIAL NEURAL NETWORK-BASED PREDICTION AND OPTIMIZATION OF AUTOCLAVE CURING PROCESS OUTCOMES …

MA Batouei - 2024 - open.library.ubc.ca
Composite materials are essential in high-performance industries due to their superior
strength-to-weight ratios and design versatility. However, ensuring consistent quality during …