Abstract: Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely quarantine and medical treatment. Developing a deep learning-based model for automatic COVID-19 ...

Abstract: Recently, pseudolabel-based deep learning methods have shown excellent performance in semi-supervised hyperspectral image (HSI) classification. These methods usually select high-confidence ...

DecodeLabs-Project-2 Fraud Detection Pipeline is a supervised machine learning project that detects fraudulent financial transactions in highly imbalanced datasets. It uses SMOTE for data balancing, ...

Background/Aims The aim of this study was to identify specific MRI characteristics of anterior ischaemic optic neuropathy (AION) and optic neuritis (ON) that would aid in the differentiation between ...

In patients with acute ischaemic stroke due to anterior-circulation large-vessel occlusion achieving successful reperfusion, ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Background and objective Speech disorders are a common presenting concern to paediatricians. Yet evidence to guide detection and speech sound therapy referral of cases at risk for persistent speech ...

We present a middle childhood boy with type 1b diabetes mellitus (defined as insulin-dependent diabetes mellitus without ...

Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...

Objectives Enteral nutrition (EN) constitutes a critical therapeutic intervention in the management of patients with sepsis; however, the optimal timing for its initiation remains uncertain. This ...