This paper proposes a multi-threshold image segmentation method based on improved
emperor penguin optimization (EPO). The calculation complexity of multi-thresholds …

This paper proposes a modified marine predators algorithm based on quantum theory to
handle the multilevel image segmentation problem. The main aims of using quantum theory …

Segregation of tumor region in brain MR image is a prominent task that instantly provides
easier tumor diagnosis, which leads to effective radiotherapy planning. For decades …

Inaccuracies in anomaly prediction have become an alarming issue in the field of medical
image analysis, and these quandaries have burgeoned due to the errors caused by the …

The statistics of the World Health Organization (WHO) adage that in India, more than
150,000 people lost their life due reason of road accidents and in the world, per year, nearly …

The application of image processing in medical image analysis offers physicians numerous
advantages in diagnosing and predicting patient recovery. A typical task that requires …

Lung carcinoma also known as lung cancer is one of the dangerous diseases caused all
over the world. It is caused due to the reluctant increase of cells in the lung tissues. It is …

This research article depicts the working of a secured door unlocking system, using a cloud
based mobile application. Easy access of home key is controlled remotely irrespective of the …

In this paper, a meta-heuristic-based optimization technique is used for predicting cancer in
the lungs. Lung cancer is one of the dreadful diseases that occurred in human beings and …

At present, digital image processing plays a vital role in medical imaging areas and
specifically in magnetic resonance imaging (MRI) of brain images such as axial and coronal …