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background rejection 1event classification 1feature engineering 1machine learning 1pet imaging 1

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cs.CV2026

A systematic evaluation of machine learning classifiers for event-by-event background rejection in LAFOV PET scanners

Konrad Klimaszewski, Michał Obara, Mateusz Bala +5

The paper evaluates machine‑learning classifiers (XGBoost, AdaBoost, neural networks) for classifying individual PET coincidence events to reduce background in large‑field‑of‑view…