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Machine Learning for Brain Tumor Detection by Alexis is a document available to read on EtoBox.

What is Machine Learning for Brain Tumor Detection about?

This document discusses a machine learning approach utilizing an orthogonal gamma distribution for the automatic detection of brain tumors in MRI images. The method aims to improve segmentation accuracy and address data sample imbalances, achieving a high detection accuracy of 99.55%. The research highlights the potential of AI in enhancing brain tumor diagnosis without human intervention, contributing significantly to the healthcare sector.

Author

Alexis

Language

EN