Deep Learning-Based Computer-Aided Pneumothorax Detection Using Chest X-ray Images.

Pneumothorax is a thoracic disease leading to failure of the respiratory system, cardiac arrest, or in extreme cases, death. Chest X-ray (CXR) imaging is the primary diagnostic imaging technique for the diagnosis of pneumothorax. A computerized diagnosis system can detect pneumothorax in chest radiographic images, which provide substantial benefits in disease diagnosis.

Deep Neural Networks for Medical Image Segmentation.

Image segmentation is a branch of digital image processing which has numerous applications in the field of analysis of images, augmented reality, machine vision, and many more. The field of medical image analysis is growing and the segmentation of the organs, diseases, or abnormalities in medical images has become demanding. The segmentation of medical images helps in checking the growth of disease like tumour, controlling the dosage of medicine, and dosage of exposure to radiations.

Strategy to prevent infection from Covid-19 among security officers of tertiary care centre: A preexperimental study.

Background: The extensive spread of Covid-19 pandemic globally became the main cause of concern for everyone, including security officers working in a health care setting.

Objective: To assess the effectiveness of instructional module for Covid-19 prevention among hospital security officers.

Methods And Materials: A preexperimental study was conducted at a tertiary care hospital from North India.