Detection of Pneumonia and COVID-19 from Chest X-Ray Images Using Neural Networks and Deep Learning

JS Nimbhorkar, KS Aravind, K Jeevesh… - … Design: Proceedings of …, 2022 - Springer
Early detection of pneumonia and COVID-19 is extremely vital in order to guarantee timely
access to medical treatment. Hence, it is necessary to detect pneumonia/COVID-19 from the …

Deep Feature-Based COVID Detection from CT Scan Images Using Support Vector Machine

S Lokesh Sai Phani Babu, U Sri Ranganath… - … : Proceedings of ICICC …, 2022 - Springer
Abstract Coronavirus (COVID-19) is an air-borne disease that has affected the lifestyle of
people all around the world. Tracing patients infected with coronavirus has become a …

An Analysis of Denoising Neural Networks for Noise Removal in Images.

R Ramakotti, S Paneerselvam… - Przeglad …, 2023 - search.ebscohost.com
English Clean images, when subjected to prolonged transmission, improper image
acquisition or conditioned to multiple feature changes, lead to image tarnishing due to …

Explainable AI (XAI): Improving At-Risk Student Prediction with Theory-Guided Data Science, K-Means Classification, and Genetic Programming

NVP Bui - 2022 - search.proquest.com
This research explores the use of eXplainable Artificial Intelligence (XAI) in Educational
Data Mining (EDM) to improve the performance and explainability of artificial intelligence …

An Intelligent Computational Model with Dynamic Mode Decomposition and Attention Features for COVID-19 Detection from CT Scan Images

LSP Babu, SS Kumar, N Mohan, R Krishankumar… - 2023 - researchsquare.com
Abstract Coronavirus (COVID-19), an air-borne disease, has affected the lifestyle of people
all around the world. The World Health Organization (WHO) classified the disease as a …

Analysis on the effectiveness of transfer learned features for x-ray image retrieval

G Krishnan, OK Sikha - … and Application: Proceedings of ICIDCA 2021, 2022 - Springer
A computer-assisted system for retrieving medical images of identical contents can be used
as a data processing method for managing and mining large amount of medical data, as …