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, or occupational lung disease, is one of the world's most prevalent work-
related diseases. Silicosis, a type of pneumoconiosis, is caused by inhaling respirable …

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 …

Early detection of pneumoconiosis in X-Rays has been a challenging task that leads to high
inter-and intra-reader variability. Motivated by the success of deep learning in general and …

Pneumoconiosis is a group of occupational lung diseases induced by mineral dust
inhalation and subsequent lung tissue reactions. It can eventually cause irreparable lung …

Objectives: In an era characterized by dynamic technological advancements, the well-being
of the workforce remains a cornerstone of progress and sustainability. The evolving …

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 …

Pneumoconiosis is an incurable respiratory disease caused by long-term inhalation of
respirable dust. Due to small pneumoconiosis incidence and restrictions on sharing of …

In recent years, prediction of cancer at earlier stages is obligatory to increase the chance of
survival of the afflicted. The most dreadful type is lung cancer, which is identified as one of …

Medical image classification has become popular in computer-aided diagnosis (CAD) of
pneumoconiosis. However, most current work focuses on improving the accuracy of …