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Artificial intelligence in advancing occupational health and safety: an encapsulation of developments
Objectives: In an era characterized by dynamic technological advancements, the well-being
of the workforce remains a cornerstone of progress and sustainability. The evolving …
of the workforce remains a cornerstone of progress and sustainability. The evolving …
Artificial intelligence techniques to predict the airway disorders illness: a systematic review
Airway disease is a major healthcare issue that causes at least 3 million fatalities every year.
It is also considered one of the foremost causes of death all around the globe by 2030 …
It is also considered one of the foremost causes of death all around the globe by 2030 …
AI-based radiodiagnosis using chest X-rays: A review
Chest Radiograph or Chest X-ray (CXR) is a common, fast, non-invasive, relatively cheap
radiological examination method in medical sciences. CXRs can aid in diagnosing many …
radiological examination method in medical sciences. CXRs can aid in diagnosing many …
[HTML][HTML] Computer-aided diagnosis of coal workers' pneumoconiosis in chest x-ray radiographs using machine learning: A systematic literature review
Computer-aided diagnostic (CAD) systems can assist radiologists in detecting coal workers'
pneumoconiosis (CWP) in their chest X-rays. Early diagnosis of the CWP can significantly …
pneumoconiosis (CWP) in their chest X-rays. Early diagnosis of the CWP can significantly …
[HTML][HTML] Deep ensemble learning for the automatic detection of pneumoconiosis in coal worker's chest X-ray radiography
Globally, coal remains one of the natural resources that provide power to the world.
Thousands of people are involved in coal collection, processing, and transportation …
Thousands of people are involved in coal collection, processing, and transportation …
Auguring fake face images using dual input convolution neural network
Deepfake technology uses auto-encoders and generative adversarial networks to replace or
artificially construct fine-tuned faces, emotions, and sounds. Although there have been …
artificially construct fine-tuned faces, emotions, and sounds. Although there have been …
Artificial intelligence for computer aided detection of pneumoconiosis: A succinct review since 1974
With the increasing availability of medical imaging data and advancements in artificial
intelligence (AI) and computer vision (CV) techniques, computer aided diagnostic (CAD) …
intelligence (AI) and computer vision (CV) techniques, computer aided diagnostic (CAD) …
[HTML][HTML] Detection and visualisation of pneumoconiosis using an ensemble of multi-dimensional deep features learned from Chest X-rays
Pneumoconiosis is a group of occupational lung diseases induced by mineral dust
inhalation and subsequent lung tissue reactions. It can eventually cause irreparable lung …
inhalation and subsequent lung tissue reactions. It can eventually cause irreparable lung …
Use data augmentation for a deep learning classification model with chest X-ray clinical imaging featuring coal workers' pneumoconiosis
H Dong, B Zhu, X Zhang, X Kong - BMC Pulmonary Medicine, 2022 - Springer
Purpose This paper aims to develop a successful deep learning model with data
augmentation technique to discover the clinical uniqueness of chest X-ray imaging features …
augmentation technique to discover the clinical uniqueness of chest X-ray imaging features …
An X-ray image classification method with fine-grained features for explainable diagnosis of pneumoconiosis
C Zhang, J He, L Shang - Personal and Ubiquitous Computing, 2024 - Springer
Medical image classification has become popular in computer-aided diagnosis (CAD) of
pneumoconiosis. However, most current work focuses on improving the accuracy of …
pneumoconiosis. However, most current work focuses on improving the accuracy of …