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3D virtual reconstruction of the Kebara 2 Neandertal thorax
The size and shape of the Neandertal thorax has been debated since the first discovery of Neandertal ribs more than 150 years ago, with workers proposing different interpretations ranging from a Neandertal thoracic morphology that is indistinguishable ...
A. Gómez‐Olivencia +6 more
semanticscholar +2 more sources
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification [PDF]
Vision Transformer (ViT) has become one of the most popular neural architectures due to its great scalability, computational efficiency, and compelling performance in many vision tasks.
Junfei Xiao +3 more
semanticscholar +1 more source
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases [PDF]
The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging studies accompanied by radiological reports are accumulated and stored in many modern
Xiaosong Wang +5 more
semanticscholar +1 more source
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays [PDF]
Chest X-rays are one of the most common radiological examinations in daily clinical routines. Reporting thorax diseases using chest X-rays is often an entry-level task for radiologist trainees.
Xiaosong Wang +4 more
semanticscholar +1 more source
Current medical imaging phantoms are usually limited by simplified geometry and radiographic skeletal homogeneity, which confines their usage for image quality assessment. In order to fabricate realistic imaging phantoms, replication of the entire tissue
S. Hatamikia +12 more
semanticscholar +1 more source
As one of the most frequently occurring injuries, thoracic trauma is a significant public health burden occurring in road traffic crashes, sports accidents, and military events.
Wei Zeng +4 more
semanticscholar +1 more source
Thorax disease classification with attention guided convolutional neural network
This paper considers the task of thorax disease diagnosis on chest X-ray (CXR) images. Most existing methods generally learn a network with global images as input.
Q. Guan +5 more
semanticscholar +1 more source
Antibióticos empíricos para la neumonía adquirida en la comunidad en pacientes adultos: Una revisión sistemática y un metaanálisis en red [PDF]
Objetivo: El objetivo principal de este metaanálisis en red es identificar el antibiótico empírico (Em-ATB) con mayor probabilidad de ser el mejor (HPBB) en términos de (1) tasa de curación y (2) tasa de mortalidad en pacientes hospitalizados con ...
Blanco, Jesús +19 more
core +1 more source
Dysfunction of the Voltage‐Gated K+ Channel β2 Subunit in a Familial Case of Brugada Syndrome
BackgroundThe Brugada syndrome is an inherited cardiac arrhythmia associated with high risk of sudden death. Although 20% of patients with Brugada syndrome carry mutations in SCN5A, the molecular mechanisms underlying this condition are still largely ...
Vincent Portero +23 more
doaj +1 more source
Little is known about the light phenotype of SARS-CoV-2 pneumonia, which behaves in an unusual way, unlike other known respiratory diseases. We believe that the histopathological features of early COVID-19 could be considered the pathophysiological ...
S. Oldani +11 more
doaj +1 more source

