About this document
AI-Based Brain MRI Tumor Segmentation by ajmrd is a document available to read on EtoBox.
The paper presents an intelligent model for brain tumor segmentation in MRI images using a combination of Convolutional Neural Network (CNN) and wavelet transform, achieving high accuracy and sensitivity. It reviews various existing algorithms, concluding that the proposed model outperforms them with an accuracy of 99.44% and sensitivity of 98.98%. The model aims to assist radiologists by providing reliable tumor detection and improving the efficiency of MRI analysis.
- Author
- ajmrd
- Language
- EN