| Abstrakt: |
A recent report from Andhra University discusses the challenges of early detection of brain tumors, emphasizing the importance of timely diagnosis for patient care. The study proposes a model that utilizes improved binomial thresholding segmentation and Sparse Bayesian Extreme Learning Machine classification to enhance the accuracy and speed of brain tumor detection. By analyzing MRI images and computing various parameters, the model shows promising results in terms of accuracy, specificity, and sensitivity, potentially aiding in saving patients' lives. [Extracted from the article] |
