HYBRID GRAPH REPRESENTATION LEARNING FOR CAROTID ARTERY STENOSIS DETECTION BASED ON MULTIMODAL RETINAL OCTA IMAGES

Hybrid Graph Representation Learning for Carotid Artery Stenosis Detection Based on Multimodal Retinal OCTA Images

Carotid artery stenosis (CAS) is one of the major causes of cerebral ischemic stroke.Rapid and precise detection of CAS is crucial for early intervention and reducing ischemic stroke incidence.Neuroimaging techniques, as the gold standard for evaluating cerebral abnormalities in CAS, suffer from limitations including expensive and time-consuming, h

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Novel methods of utilizing Jitter for Network Congestion Control

This paper proposes Hormonal Balance a novel paradigm for network congestion control.Instead of perpetual conflict as in TCP, a proof-of-concept first-ever protocol enabling inter-flow communication without infrastructure support thru a side channel constructed on generic FIFO queue behaviour is presented.This enables independent flows passing thru

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