COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural network

GS George, PR Mishra, P Sinha, MR Prusty - … and Biomedical Engineering, 2023 - Elsevier
COVID-19 had caused the whole world to come to a standstill. The current detection
methods are time consuming as well as costly. Using Chest X-rays (CXRs) is a solution to …

A Hybrid Deep Learning CNN model for COVID-19 detection from chest X-rays

M Abdullah, F berhe Abrha, B Kedir, TT Tagesse - Heliyon, 2024 - cell.com
Abstract Coronavirus disease (COVID-2019) is emerging in Wuhan, China in 2019. It has
spread throughout the world since the year 2020. Millions of people were affected and …

Deep learning algorithms for automatic segmentation of acute cerebral infarcts on diffusion-weighted images: Effects of training data sample size, transfer learning …

YG Noh, WS Ryu, D Schellingerhout, J Park, J Chung… - medRxiv, 2023 - medrxiv.org
Background Deep learning-based artificial intelligence techniques have been developed for
automatic segmentation of diffusion-weighted magnetic resonance imaging (DWI) lesions …

OBD II-Based Performance Analysis Based on Fuel Usage of Vehicles

SK Singh, V Maan, AK Singh - … Conference on Emerging Trends in Expert …, 2023 - Springer
Driving performance analysis has become increasingly crucial as the number of vehicles
grows and using a mathematical model, it is possible to compare the various engine …

Employing Transfer Learning and LSTM Networks for COVID-19 Detection via Chest X-Ray Imagery

A Dubey, R Ahirwar, A Rasool, A Kumar… - Traitement du …, 2023 - search.proquest.com
The recent emergence of COVID-19 has posed substantial challenges to global health
sectors. Given the significant impact of the virus on lung tissues, chest radiography has …

A Hybrid Deep Learning CNN model for COVID-19 detection from chest X-rays

M Abdullah, F berhe Abrha, B Kedir, TT Tagesse - europepmc.org
Abstract Coronavirus disease (COVID-2019) is emerging in Wuhan, China in 2019. It has
spread throughout the world since the year 2020. Millions of people were affected and …