A Web Management Platform for Coronavirus Detection Using CNN
Author :
Sanitha SajikumarJourna Name:
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH AND ENGINEERING TRENDS Country :
IndiaVolume:
10 issue:3 Year:2024 Views : 468
Abstract:
A web-based platform designed for the identification of coronavirus infections through analysis of chest X-ray scans. Amidst the global pandemic, rapid and accurate diagnosis is paramount. Our platform offers healthcare professionals a streamlined interface to upload and examine X-ray images, utilizing cutting-edge machine learning techniques. By harnessing advanced image processing and deep learning algorithms, our platform aims to expedite the detection process, facilitating early intervention and treatment. Moreover, it provides intuitive visualization tools to aid in result interpretation. Our solution represents a promising advancement in the battle against COVID-19, empowering healthcare providers with a reliable means of screening and monitoring infections through accessible medical imaging data. Our technology uses deep learning models and image processing techniques to help diagnose and treat COVID-19 patients as soon as possible. The software also provides visualization capabilities to help with decision-making and result interpretation. Our method has the potential to be an effective tool in the pandemic response, allowing for the fast screening and tracking of coronavirus infections using easily accessible medical imaging data. The Medical Website is named as Medico.