Pneumonia Detection in Chest Radiographs [PDF]
arXiv, 2018 In this work, we describe our approach to pneumonia classification and localization in chest radiographs. This method uses only \emph{open-source} deep learning object detection and is based on CoupleNet, a fully convolutional network which incorporates global and local features for object detection.
arxiv
FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays [PDF]
arXivPneumonia is a respiratory infection caused by bacteria, fungi, or viruses. It affects many people, particularly those in developing or underdeveloped nations with high pollution levels, unhygienic living conditions, overcrowding, and insufficient medical infrastructure.
arxiv
The prevalence of acute Chlamydia pneumoniae infection in patients with acute exacerbation of the chronic obstructive pulmonary [PDF]
, 2013 زمینه و هدف: بیماری انسدادی مزمن ریوی (COPD) که ترکیبی از آمفیزم و برونشیت مزمن است، چهارمین علت مرگ و میر در جهان می باشد. بیماری انسدادی مزمن ریوی شدید (AECOPD) بیماران را مجبور به پیگیری مراقبت های پزشکی می نماید.
Hafizi, Masoud. +3 more
core
Enhancing Pneumonia Diagnosis and Severity Assessment through Deep Learning: A Comprehensive Approach Integrating CNN Classification and Infection Segmentation [PDF]
arXivLung disease poses a substantial global health challenge, with pneumonia being a prevalent concern. This research focuses on leveraging deep learning techniques to detect and assess pneumonia, addressing two interconnected objectives. Initially, Convolutional Neural Network (CNN) models are introduced for pneumonia classification, emphasizing the ...
arxiv
Molecular evidence of Chlamydophila pneumoniae infection in reptiles in Argentina
Revista Argentina de MicrobiologíaIn the central area of Argentina, the epidemiological and molecular characteristics of Chlamydophila pneumoniae infections in reptiles are still unknown. A nested polymerase chain reaction of the rpoB gene was used to detect C. pneumoniae in cloacal swab
María C Frutos +3 more
doaj
Duazary, 2015 La ateroesclerosis y sus complicaciones constituyen una de las mayores causas de morbi-mortalidad a nivel mundial. Sin embargo, solo la mitad de los casos se justifica por los factores de riesgo tradicionales.
Alvaro Gudiño-Gomezjurado +1 more
doaj
A novel method to enhance pneumonia detection via a model-level ensembling of CNN and vision transformer [PDF]
arXivPneumonia remains a leading cause of morbidity and mortality worldwide. Chest X-ray (CXR) imaging is a fundamental diagnostic tool, but traditional analysis relies on time-intensive expert evaluation. Recently, deep learning has shown immense potential for automating pneumonia detection from CXRs. This paper explores applying neural networks to improve
arxiv
Значение оксида азота в развитии интоксикационного синдрома при гриппе [PDF]
, 2014 АЗОТА ОКСИДЫ /ВРЕД.
Ратникова, Л. И. +1 more
core
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach [PDF]
arXivPneumonia, a prevalent respiratory infection, remains a leading cause of morbidity and mortality worldwide, particularly among vulnerable populations. Chest X-rays serve as a primary tool for pneumonia detection; however, variations in imaging conditions and subtle visual indicators complicate consistent interpretation.
arxiv