The recent COVID-19 outbreak has severely affected people around the world. There is a
need of an efficient decision making tool to improve awareness about the spread of COVID …

In the era of big data, computer science has been applied to every aspect of biomedical
field. At the same time, transforming biomedical data into valuable knowledge is one of the …

Hookworm is an illness caused by an internal sponger called a roundworm. Inferable from
deprived cleanliness in the developing nations, hookworm infection is a primary source of …

Identification and quantification of insulin resistance require specific blood test which is
complex, time-consuming, and much more invasive, making it difficult to track the changes …

Road traffic accidents are a 'global tragedy'that generates unpredictable chunks of data
having heterogeneity. To avoid this heterogeneous tragedy, we need to fraternize and …

U-net is a classical and high-efficiency network, which achieves better performance than
other end-to-end networks in Biomedical Image Segmentation with fewer training images …

Accurate differentiation of intramedullary spinal cord tumors and inflammatory demyelinating
lesions and their subtypes are warranted because of their overlapping characteristics at MRI …

Purpose The purpose of this work is to make a computer aided detection system for epileptic
seizures. Epilepsy is a neurological disorder characterized as the recurrence of two or more …

Nowadays, people are highly addicted to social media or any other social platform, and
there is no one without the Internet or Android mobile devices. Therefore, social media is …

The unprompted patient's and inimitable physician's experience shared on online health
communities (OHCs) contain a wealth of unexploited knowledge. Med Help and eHealth are …