IEEE

Histopathological Image Classification: EfficientNetB3 vs Custom CNN for Cancer Detection

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 ...
IEEE

A Big Data Framework for Scalable and Cross-Dataset Capable Machine Learning in Network Intrusion Detection Systems

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 ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

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 ...
Science Daily

This ultra-sensitive imaging system can spot cancer earlier

A new imaging technology can distinguish cancerous tissue from healthy cells by detecting ultra-weak light signals. It relies ...
BMJ

Shared decision-making using a decision aid for patients with breast cancer considering breast reconstruction: study protocol for a cluster-randomised controlled trial in Japan

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 ...