Noising in X-ray imaging has been one of the biggest challenges that leads to insufficient
and improper diagnosis. Despite the fact that X-rays are one of the most widespread and …

In this paper, we present a novel approach to diagnose and localize COVID-19 using CT
and X-ray images, which is based on deep transfer learning. The proposed method utilizes a …

Computer vision has proven that it can solve many problems in the field of health in recent
years. Processing the data obtained from the patients provided benefits in both disease …

Minimization of radiation dose plays an important role in human wellbeing. Excess of
radiation dose leads to cancer. Radiation greatly affects young children less than 10 years of …

Due to the presence of speckle noise and similarities, it is difficult to recognize the
boundaries of abnormal regions in ultrasound images. An automatic segmentation is …

Image enhancement is a basic and Very essential step in image processing. The main aim
of image enhancement is to process an image and to improve the visual quality of the …