Research Article
Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model
Table 15
Comparison of previous research with proposed model.
| Author | Classifier | Dataset used | Accuracy (%) |
| Varuna Shree and Kumar [51] | Probabilistic neural network (PNN) | 650 MR images | 95 | Rajan and Sundar [52] | Support vector machine (SVM) | 41 magnetic resonance (MR) images | 98 | Ullah et al. [53] | Feed-forward neural network | 71 magnetic resonance (MR) images | 95.8 | Kang et al. [54] | ELM | 253 images | 97.05 | Díaz-Pernas et al. [55] | Multiscale CNN | 3064 MR images | 97.3 | Our proposed method | MHS-SCA-ELM | 255 images | 99.12 |
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