UNSUPERVISED IMAGE SEGMENTATION ON 2D ECHOCARDIOGRAM

Unsupervised Image Segmentation on 2D Echocardiogram

Echocardiography is a widely used, non-invasive imaging technique for diagnosing and monitoring heart conditions.However, accurate segmentation of cardiac structures, particularly the left ventricle, remains a complex task due to the inherent variability and noise in echocardiographic images.Current supervised models have achieved state-of-the-art

read more


Plasma human growth cytokines in children with vasovagal syncope

PurposeThe study was designed to investigate the profile of plasma human growth cytokines in pediatric vasovagal syncope (VVS).Materials and methodsIn the discovery set of the study, plasma human growth cytokines were measured using a Quantiboby Human Growth Factor Array in 24 VVS children and 12 healthy controls.Scatter and principal component ana

read more

Research on Network Intrusion Detection Based on Incremental Extreme Learning Machine and Adaptive Principal Component Analysis

Recently, network attacks launched by malicious attackers have seriously affected modern life and enterprise production, and these network attack samples have the characteristic of type imbalance, which undoubtedly increases the difficulty of intrusion detection.In response to this problem, it would naturally be very meaningful to design an intrusi

read more

STATISTICAL ANALYSIS OF PALYNOLOGICAL ASSEMBLAGES FROM THE APTIAN-ALBIAN OF THE ARARIPE BASIN, NORTHEAST BRAZIL: A CASE STUDY OF PALEOENVIRONMENTAL SIGNIFICANCE OF EARLY CRETACEOUS TERRESTRIAL PALYNOMORPHS

Statistical treatment of palynological data from Rio da Batateira and Santana formations (Aptian-Albian) of the Araripe Basin provides mathematical support to paleoclimatic interpretations.In addition to Classopollis and ephedroid pollen, widely accepted as aridity indicators, other typical xerophytic elements include Afropollis spp., Spheripolleni

read more