Leveraging object detection for early diagnosis of neurodegenerative diseases through radiomic analysis

Key Points

• Superior diagnostic accuracy was achieved across multi-site MRI and PET datasets, highlighting its effectiveness.
• The analysis revealed latent biomarkers that provide interpretable results for identifying neurodegenerative diseases early.
• Using a computational framework, the approach incorporates object detection for enhanced neuroimaging analysis and evaluation.
• While promising, clinical deployment requires further validation to establish its reliability in diverse populations.