Despite the progress of its management, COVID-19 maintains an ominous condition which
constitutes a threat, especially for the susceptible population. The cardiac injury occurs in …

Simple Summary In recent years, the human population on Earth has increased, leading to a
higher demand for food sources. Pesticides have emerged as a breakthrough to enhance …

Cardiovascular diseases are among the major health problems that are likely to benefit from
promising developments in quantum machine learning for medical imaging. The chest X-ray …

Purpose Radiation therapy (RT) after breast-conserving surgery reduces locoregional
recurrences and improves survival but may cause late side effects. The main purpose of this …

Cardiomegaly is among the disorders categorized by a structural enlargement of the heart
by any of the situations including pregnancy, resulting in damage to heart muscles and …

ABSTRACT A chest x-ray is the most commonly used modality for detecting cardiomegaly,
and the cardiothoracic ratio (CTR) has been used as an important tool for estimating the …

We propose an automated method based on deep learning to compute the cardiothoracic
ratio and detect the presence of cardiomegaly from chest radiographs. We develop two …

Chest x‐ray (CXR) examination is a common first‐line, non‐invasive, and rapid screening
method in clinical examinations. The posteroanterior (PA) and anteroposterior (AP) view …

Deep learning techniques have shown significant contributions to several fields, including
medical image analysis. For supervised learning tasks, the performance of these techniques …

Background Cardiac myocyte hypertrophy results from clinical conditions that include
hypertension and valvular heart disease, and can result in heart failure. This study aimed to …