Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Discover how effective market segmentation identifies profitable customers and optimizes pricing, distribution, and product ...
T1Prep is a pipeline that preprocesses T1-weighted MRI data and supports segmentation and cortical surface reconstruction. It provides a complete set of tools for efficiently processing structural MRI ...
Advanced cyberattack patterns threatening network assets employ various attack vectors, multi-stage attack processes, and diverse penetration strategies. Among these multi-stage attack patterns, many ...
ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...
Abstract: The growing need for digitally preserving the cultural heritage of ethnic minorities has positioned the accurate segmentation and innovative utilization of traditional patterns as a pivotal ...
Python implementation of the adaptive seed (centroid) placement part in Adaptive-SNIC algorithm. Following figure shows the corresponding seeds produced by Adaptive-SNIC algorithm. It is clear that ...
This valuable study demonstrates that the behavior of the cells in the presomitic mesoderm in zebrafish embryos depend on both an intrinsic program and external information, providing new insight into ...
Unveiling five unique consumer segments, this study sheds light on why many struggle to follow the world’s most evidence-based diet, highlighting cultural, financial, and behavioral barriers. Study: ...
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