Image segmentation is a wide research topic; a huge amount of research has been
performed in this context. Image segmentation is a crucial procedure for most object …

A global pandemic scenario is witnessed worldwide owing to the menace of the rapid
outbreak of the deadly COVID-19 virus. To save mankind from this apocalyptic onslaught, it …

Computer-aided radiological image interpretation systems can be helpful to reshape the
overall workflow of the COVID-19 diagnosis process. This article describes an unsupervised …

The absence of dedicated vaccines or drugs makes the COVID-19 a global pandemic, and
early diagnosis can be an effective prevention mechanism. RT-PCR test is considered as …

Segmentation of microscopic images is always considered a challenging task due to the
inherent properties of the microscopic images. In general, microscopic images have …

The automated computer-aided biomedical image analysis tools help in achieving precise
and accurate analysis of disease with less manual intervention and facilitate quick and …

Digital images belong to one of the most important and frequently transmitted data
categories are the inevitable part of the modern data communication systems. Images …

In this work, an audio encryption framework is proposed based on the chaos theory and
DNA encoding. Traditional encryption algorithms designed for text data might not be efficient …

This article addresses this challenge and proposes a novel approach based on the modified
cuckoo search and chaos theory. This article describes a novel approach for multilevel …

Image segmentation is one of the inevitable parts of the digital image processing and very
useful to solve different real life problems. Biomedical image segmentation is a prime …