Covid-net ct-2: Enhanced deep neural networks for detection of covid-19 from chest ct images through bigger, more diverse learning
The COVID-19 pandemic continues to rage on, with multiple waves causing substantial harm
to health and economies around the world. Motivated by the use of computed tomography (…
to health and economies around the world. Motivated by the use of computed tomography (…
[HTML][HTML] Radiologic management of COVID-19: preliminary experience of the Iranian Society of Radiology COVID-19 Consultant Group (ISRCC)
In December 2019, a novel coronavirus, now commonly known as the COVID-19, emerged
in Wuhan, China, causing pneumonia and acute respiratory failure. This highly contagious …
in Wuhan, China, causing pneumonia and acute respiratory failure. This highly contagious …
[HTML][HTML] Novel screening and triage strategy in Iran during deadly coronavirus disease 2019 (COVID-19) epidemic: value of humanitarian teleconsultation service
THE PROBLEM The current outbreak of coronavirus disease 2019 (COVID-19) in at least
156 countries has been classified by the World Health Organization as a global pandemic [1]. …
156 countries has been classified by the World Health Organization as a global pandemic [1]. …
Radiogenomic models using machine learning techniques to predict EGFR mutations in non-small cell lung cancer
…, UA Saeed, CC McDougall, A Sabri… - Canadian …, 2021 - journals.sagepub.com
Background: The purpose of this study was to build radiogenomics models from texture
signatures derived from computed tomography (CT) and 18 F-FDG PET-CT (FDG PET-CT) …
signatures derived from computed tomography (CT) and 18 F-FDG PET-CT (FDG PET-CT) …
Covid-net cxr-2: An enhanced deep convolutional neural network design for detection of covid-19 cases from chest x-ray images
As the COVID-19 pandemic devastates globally, the use of chest X-ray (CXR) imaging as a
complimentary screening strategy to RT-PCR testing continues to grow given its routine …
complimentary screening strategy to RT-PCR testing continues to grow given its routine …
Covid-net cxr-s: Deep convolutional neural network for severity assessment of covid-19 cases from chest x-ray images
The world is still struggling in controlling and containing the spread of the COVID-19
pandemic caused by the SARS-CoV-2 virus. The medical conditions associated with SARS-CoV-2 …
pandemic caused by the SARS-CoV-2 virus. The medical conditions associated with SARS-CoV-2 …
TB-Net: a tailored, self-attention deep convolutional neural network design for detection of tuberculosis cases from chest X-ray images
Tuberculosis (TB) remains a global health problem, and is the leading cause of death from
an infectious disease. A crucial step in the treatment of tuberculosis is screening high risk …
an infectious disease. A crucial step in the treatment of tuberculosis is screening high risk …
Le rafraîchissement par la géothermie: étude théorique et expérimentale dans le site de Biskra
…, H Benfatah, N Hatraf, A Moummi, SY Ali - Journal of Renewable …, 2010 - revue.cder.dz
A travers la modélisation et l’expérimentation, nous essayons dans ce projet pilote d’évaluer
les performances d’un échangeur air/sol dit ‘puits canadien’. Le modèle analytique …
les performances d’un échangeur air/sol dit ‘puits canadien’. Le modèle analytique …
Mutations in the chloroplast inner envelope protein TIC100 impair and repair chloroplast protein import and impact retrograde signaling
Chloroplast biogenesis requires synthesis of proteins in the nucleocytoplasm and the chloroplast
itself. Nucleus-encoded chloroplast proteins are imported via multiprotein translocons …
itself. Nucleus-encoded chloroplast proteins are imported via multiprotein translocons …
MEDUSA: multi-scale encoder-decoder self-attention deep neural network architecture for medical image analysis
Medical image analysis continues to hold interesting challenges given the subtle characteristics
of certain diseases and the significant overlap in appearance between diseases. In this …
of certain diseases and the significant overlap in appearance between diseases. In this …