IEEE

Aligning Normal Representations in Diffusion Model for Video Anomaly Detection

Abstract: Recent advances have highlighted the potential of diffusion models in Video Anomaly Detection (VAD). Diffusion models are typically employed to generate negative instances to distinguish ...
gastroenterologyadvisor

Artificial Intelligence Algorithms Improve Early ESCC Detection at Endoscopy

Endoscopy-based deep learning algorithms demonstrate excellent accuracy for detecting early ESCC and significantly outperformed junior endoscopists. Endoscopy-based deep learning (DL) algorithms ...
Frontiers

Early Alzheimer’s risk detection via diffusion tensor imaging using a few-shot multichannel attention residual learning network

Alzheimer’s disease (AD) is responsible for many dementia-related deaths worldwide, and Mild Cognitive Impairment (MCI) is often its earliest clinical manifestation. Early detection of MCI is ...
IEEE

Label Propagation-Based Membership Degree Computation Towards a Computationally Efficient Fuzzy Community Detection Approach

Abstract: This paper proposes a novel fuzzy community detection (FCD) approach, which we term as ‘Label Propagation-Based Fuzzy Community (LaProFC)’, and shows that it has the ability to outperform ...