Abstract: Medical image segmentation plays a crucial role in various healthcare applications, enabling accurate diagnosis, treatment planning, and disease monitoring. Convolutional Neural Networks ...
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 ...
The Portland City Council on Wednesday passed a measure that bans corporate landlords from using rent-fixing price algorithms in the city. The ordinance, which was pushed by Councilor Angelita Morillo ...
UK Home Office’s uses two algorithms for immigration purposes seemingly without sufficient safeguards to protect the right to privacy and meet data protection standards. Migrants appear to be subject ...
Our Take Ten guest this week is Emily Blunt. Hot on the heels of her eighth Golden Globe nomination — this time for her performance in The Smashing Machine — Blunt sat down with us to tackle questions ...
In Algorithms for Machine Learning Before applying modern clustering algorithms, data was analyzed using rulebased grouping, eye scanning, manual computation of distances, and hierarchical sorting, ...
With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly, exactly the way you want it.’ With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly ...
Deep learning (DL) has been proposed for magnetic resonance imaging (MRI) prostate segmentation for various clinical tasks, including radiotherapy treatment planning. In other applications, DL models ...
ABSTRACT: Deep learning has come to be one of the most transformative generations in current clinical imaging, imparting advanced answers for diagnosis, segmentation, and sickness class. This complete ...
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