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Mike Young @mikeyoung44

AI Analyzes Total-Body PET Scans With K-Means Clustering

Researchers used AI to analyze total-body PET scan data, comparing 4 clustering methods: K-means, DBSCAN, OPTICS & Hierarchical. K-means led the pack in accuracy.

This is a Plain English Papers summary of a research paper called AI Finds Best Method to Analyze Total-Body PET Scans, K-Means Clustering Leads the Pack. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

  
  
  Overview

Study evaluates clustering algorithms for analyzing total-body PET scan data
Compares 4 major clustering methods: K-means, DBSCAN, OPTICS, and Hierarchical
Tests algorithms on both simulated and real patient PET imaging data
Develops quantitative metrics to assess clustering performance
Aims to automate analysis of dynamic PET scans...