A Superpixel Segmentation Based Technique for Multiple Sclerosis Lesion Detection

TL;DR

This paper proposes a superpixel segmentation technique to improve the detection of multiple sclerosis lesions in medical images, aiming for more accurate and efficient diagnosis.

Contribution

It introduces a novel superpixel segmentation method specifically tailored for identifying multiple sclerosis lesions, enhancing detection accuracy over existing approaches.

Findings

Improved lesion detection accuracy demonstrated on medical imaging datasets

Reduced false positives compared to traditional segmentation methods

Faster processing time for clinical application

Abstract

A Superpixel Segmentation Based Technique for Multiple Sclerosis Lesion Detection