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What is Brain Tumor Detection Using Machine Learning Techniques about?

This document discusses techniques for detecting brain tumors using machine learning. It describes how MRI images can be preprocessed, segmented, features extracted, and then classified to identify tumors. Specifically, it proposes using watershed and edge detection algorithms on color images converted to HSV space to segment tumors. Watershed transforms and internal/external markers are used to overcome oversegmentation issues, and gradient magnitude preprocessing is applied before watershed segmentation.

Author

Yashvanthi Sanisetty

Language

EN