IEEE

MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-Ray Self-Supervised Representation Learning

Abstract: Self-supervised learning (SSL) reduces the need for manual annotation in deep learning models for medical image analysis. By learning the representations from unablelled data, ...
PharmiWeb

Qure.ai Nets Six New Indications Cleared by the FDA, Taking the Chest X-ray Crown in the Radiology AI Race

Latest solution identifies, highlights & categorizes key positive findings to support clinicians, taking total FDA cleared indications to 26NEW YORK--(BUSINESS WIRE)--The US Food and Drug ...
The Lancet

Redefining the role of indwelling pleural catheters at thoracoscopy

Clinicians frequently rely on expert opinions, which are sometimes later disproven by randomised controlled trials (RCTs). For example, intrapleural streptokinase was commonplace until the MIST-1 ...
IEEE

HyCoViT: Hybrid Convolution Vision Transformer With Dynamic Dropout for Enhanced Medical Chest X-Ray Classification

Abstract: Medical chest X-ray (CXR) classification necessitates balancing detailed local feature extraction with capturing broader, long-range dependencies, especially when working with limited and ...