Deep learning of fundus photograph has emerged as a practical and cost‐effective
technique for automatic screening and diagnosis of severer diabetic retinopathy (DR). The …

Chest X-ray radiography (CXR) is among the most frequently used medical imaging
modalities. It has a preeminent value in the detection of multiple life-threatening diseases …

COVID-19 is a new pulmonary disease which is driving stress to the hospitals due to the
large number of cases worldwide. Imaging of lungs can play a key role in the monitoring of …

The main objective of this study was to effectively segment the lung tissue area in chest
radiograms (called a chest X-ray: CXR). The results of conducted analysis were related to …

In computer vision, edge detection is a crucial step in identifying the objects' boundaries in
an image. The existing edge detection methods function in either spatial domain or …

Les images radiographiques du thorax sont un outil de diagnostic essentiel pour identifier
un large éventail de maladies thoraciques. Les radiologues utilisent ces images pour …

Deep learning of fundus photograph has emerged as a practical and cost-effective
technique for automatic screening and diagnosis of severer diabetic retinopathy (DR). e …