Medical Images Classification Using Convolutional Neural Network

The World Health Organization has announced the most recent coronavirus-related disease, Covid-19 (Coronavirus Disease-2019), a pandemic. In addition, the worldwide lockdown implementation has made the whole globe to have millions of people dead. Added to the fact of being extremely contagious, this virus has a high mortality rate. In other words, it puts pressure on the healthcare system because of infecting many individuals. Therefore, identifying Covid-19 has become critical. In fact, this study aims to apply X-ray as well as Computed Tomography (CT) augmented datasets in order to realize a deep learning technique based on the Convolutional Neural Network (CNN) to immediately detect and diagnose Covid-19. With an efficient loss function, we have typically developed our deep learning model performance. Furthermore, the proposed system carried out high Covid-19 detection performance with a significant accuracy.

Authors

Institutions

Publication Details

Published
2025-02-17
DOI
https://doi.org/10.1109/ssd64182.2025.10990011
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Medical Images Classification Using Convolutional Neural Network

Hana Ben Fredj, Chokri Souani, Yosra Ben Fadhel
Brain Tumor Detection and Classification
article

Medical Images Classification Using Convolutional Neural Network

Hana Ben Fredj, Chokri Souani, Yosra Ben Fadhel
article en

Abstract

The World Health Organization has announced the most recent coronavirus-related disease, Covid-19 (Coronavirus Disease-2019), a pandemic. In addition, the worldwide lockdown implementation has made the whole globe to have millions of people dead. Added to the fact of being extremely contagious, this virus has a high mortality rate. In other words, it puts pressure on the healthcare system because of infecting many individuals. Therefore, identifying Covid-19 has become critical. In fact, this study aims to apply X-ray as well as Computed Tomography (CT) augmented datasets in order to realize a deep learning technique based on the Convolutional Neural Network (CNN) to immediately detect and diagnose Covid-19. With an efficient loss function, we have typically developed our deep learning model performance. Furthermore, the proposed system carried out high Covid-19 detection performance with a significant accuracy.

Tunis University (TN), Tunis El Manar University (TN), University of Sousse (TN)
Openalex Percentile: Top 86%
Brain Tumor Detection and Classification
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Medical Images Classification Using Convolutional Neural Network — Hana Ben Fredj, Chokri Souani, et al. · (2025) | TGRS Research Map | TGRS