Weak localization of radiographic manifestations in pulmonary tuberculosis from chest x-ray: A systematic review
Pulmonary tuberculosis (PTB) is a bacterial infection that affects the lung. PTB remains one
of the infectious diseases with the highest global mortalities. Chest radiography is a …
of the infectious diseases with the highest global mortalities. Chest radiography is a …
Simplified transfer learning for chest radiography models using less data
Background Develo** deep learning models for radiology requires large data sets and
substantial computational resources. Data set size limitations can be further exacerbated by …
substantial computational resources. Data set size limitations can be further exacerbated by …
Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models
J Zipfel, F Verworner, M Fischer, U Wieland… - Computers & Industrial …, 2023 - Elsevier
Across many industries, visual quality assurance has transitioned from a manual, labor-
intensive, and error-prone task to a fully automated and precise assessment of industrial …
intensive, and error-prone task to a fully automated and precise assessment of industrial …
Artificial intelligence in paediatric tuberculosis
Tuberculosis (TB) continues to be a leading cause of death in children despite global efforts
focused on early diagnosis and interventions to limit the spread of the disease. This …
focused on early diagnosis and interventions to limit the spread of the disease. This …
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 …
[HTML][HTML] ResfEANet: ResNet-fused external attention network for tuberculosis diagnosis using chest X-ray images
Pulmonary tuberculosis (TB), the most prevalent form of TB, remains a major global public
health concern, contributing to more than a million deaths each year. The accurate and …
health concern, contributing to more than a million deaths each year. The accurate and …
A perceptual encryption-based image communication system for deep learning-based tuberculosis diagnosis using healthcare cloud services
Block-based perceptual encryption (PE) algorithms are becoming popular for multimedia
data protection because of their low computational demands and format-compliancy with the …
data protection because of their low computational demands and format-compliancy with the …
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 …
characteristics of certain diseases and the significant overlap in appearance between …
Tuberculosis detection in chest radiographs using spotted hyena algorithm optimized deep and handcrafted features
Lung abnormality in humans is steadily increasing due to various causes, and early
recognition and treatment are extensively suggested. Tuberculosis (TB) is one of the lung …
recognition and treatment are extensively suggested. Tuberculosis (TB) is one of the lung …
Fibrosis-Net: a tailored deep convolutional neural network design for prediction of pulmonary fibrosis progression from chest CT images
Pulmonary fibrosis is a devastating chronic lung disease that causes irreparable lung tissue
scarring and damage, resulting in progressive loss in lung capacity and has no known cure …
scarring and damage, resulting in progressive loss in lung capacity and has no known cure …