September 5, 2025Machine Graphics and VisionOpen Access

A review: Machine learning techniques of brain tumor classification and segmentation

View Full Paper

Ask AI

Bookmark

Authors

Discussion

This review discusses machine learning methods for brain tumor detection in MRI, highlighting the challenges and solutions.

Effective machine learning algorithms enhance the accuracy of brain tumor classification, improving diagnostic outcomes.
Common techniques include supervised learning models like support vector machine and deep learning approaches, showcasing varying efficiencies.
Feature extraction methods, such as Gabor discrete wavelet transform and Principal Component Analysis, are vital for optimizing classification.
Understanding the limitations of existing methods encourages further research in machine learning and medical image processing innovations.

Zine-dine et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark