Deep learning-based robust brain tumor detection via fuzzy C-means and LSTM networks

Network Modeling Analysis in Health Informatics and Bioinformatics, Journal Year: 2025, Volume and Issue: 14(1)

Published: Jan. 30, 2025

Language: Английский

Automated classification of brain tumor-based magnetic resonance imaging using deep learning approach

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering, Journal Year: 2024, Volume and Issue: 14(3), P. 3150 - 3150

Published: April 4, 2024

The treatment of brain tumors poses significant challenges and contributes to a number deaths on global scale. process identifying in medical practice involves the visual analysis photographs by healthcare experts, who manually delineate tumor locations. However, this approach is characterized its time-consuming nature susceptibility errors. In recent years, scholars have put forth automated approaches early detection tumors. these techniques face attributed their limited precision false-positive rates. There need for an effective methodology identify classify tumors, which extracting reliable features achieving precise disease classification. This work presents novel model architecture that derived from EfficientNetB3. suggested framework has been trained assessed dataset consisting 7,023 magnetic resonance images. findings study indicate fused feature vector exhibits superior performance compared individual vectors. Furthermore, technique was provided showed currently available systems attained 100% accuracy rate. As result, it viable employ within clinical environment purpose categorizing based images scans.

Language: Английский

Optimizing Brain Tumor Mri Classification Using Modified Vgg16 Model

Published: Aug. 23, 2024

Language: Английский