Abstract: Identification of histopathological images is crucial in the diagnosis of various cancers including the lung and colon cancers. In this study, we evaluate the performance of two deep ...
Abstract: Network Intrusion Detection Systems (NIDS) are widely used to secure modern networks, but deploying accurate and scalable Machine Learning (ML)-based detection in high-speed environments ...
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 ...
A new imaging technology can distinguish cancerous tissue from healthy cells by detecting ultra-weak light signals. It relies ...
Introduction Shared decision-making (SDM) requires that individuals are correctly and smoothly supported to make decisions. However, in Japan, development of decision aids (DAs) to support ...
AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...
University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...
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