notesum.ai
Published at October 30Efficient Feature Extraction and Classification Architecture for MRI-Based Brain Tumor Detection
eess.IV
cs.AI
cs.CV
Released Date: October 30, 2024
Authors: Plabon Paul1, Md. Nazmul Islam2, Fazle Rafsani3, Pegah Khorasani4, Shovito Barua Soumma3
Aff.: 1Department of Mechanical Engineering, Bangladesh University of Engineering & Technology, Dhaka, Bangladesh; 2Department of Computer Science and Engineering, Bangladesh University of Engineering & Technology, Dhaka, Bangladesh; 3Department of Computer Science and Engineering, Bangladesh University of Engineering & Technology, Dhaka, Bangladesh; School of Computing and Augmented Intelligence, Arizona State University; 4School of Computing and Augmented Intelligence, Arizona State University

| Scratch CNN | DenseNet | ResNet50 | EfficientNetB0 | |
| KNN | 99.33 | 99.167 | 99.83 | 99.5 |
| Logistic | 99.17 | 99.67 | 99.83 | 99.83 |
| SVM | 99.83 | 99.83 | 100 | 99.5 |
| Naive Bayes | 90 | 99.17 | 99.67 | 97 |
| Random Forest | 98.17 | 99.83 | 99.67 | 98.667 |
| Perception | 99.67 | 99.67 | 99.67 | 98.83 |