Brain Tumor Detection Based on Hybrid Convolutional Adaptive Neuro Fuzzy Inference System Using MRI Image

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Hybrid model enhances MRI image analysis for accurate brain tumor detection, implying better outcomes.

Conv-ANFIS shows improved accuracy in detecting brain tumors from MRI images.
Achieved recall of 92.31%, precision of 90.13%, and an F1-score of 91.21%.
Assessment using a hybrid convolutional neural network and adaptive neuro-fuzzy inference system.
Highlights the importance of effective noise handling and accurate segmentation in MRI analysis.

R et al. (2025) studied this question.

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