Related Experiment Video For Artificial intelligence
Updated: Sep 9, 2025

Author Spotlight: Standardizing Mouse In Vivo PET Imaging with Body Conforming Molds and Automated Analysis
Published on: October 25, 2024
Advancing Positron Emission Tomography Image Quantification: Artificial Intelligence-Driven Methods, Clinical
Fereshteh Yousefirizi1, Movindu Dassanayake2, Alejandro Lopez3
1Department of Integrative Oncology, BC Cancer Research Centre, Vancouver, Canada.
Abstract:
Positron emission tomography/computed tomography (PET/CT) imaging plays a pivotal role in oncology, aiding tumor metabolism assessment, disease staging, and therapy response evaluation. Traditionally, semi-quantitative metrics such as SUVmax have been extensively used, though these methods face limitations in reproducibility and predictive capability. Recent advancements in artificial intelligence (AI), particularly deep learning, have revolutionized PET imaging, significantly enhancing image quantification accuracy, and biomarker extraction capabilities, thereby enabling more precise clinical decision-making.
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