Studies from Department of Computer Sciences and Engineering Provide New Data on Brain Cancer (Brain Tumor Detection Based On Amended Convolution Neural Network Using Mri Images).

A study conducted in Tamil Nadu, India, has developed a new model for detecting brain tumors using MRI images. The model, called the Amended Convolutional Neural Network (ACNN), combines three techniques: image tissue preprocessing, image tissue segmentation, and feature extraction. The experimental results showed that the ACNN model outperformed existing techniques in terms of accuracy, precision, sensitivity, and other measures. The proposed model achieved a maximum accuracy of 98.8%. This research has been peer-reviewed and provides valuable insights into improving brain tumor detection. [Extracted from the article]