Over the last decade there has been an extensive evolution in the Artificial Intelligence (AI)
field. Modern radiation oncology is based on the exploitation of advanced computational …

Computer aided categorization of smear images are considered as an open problem for a
last few decades. Cervical cancer is the main cause of mortality among women population …

The enduring impact of COVID-19 on patients has been examined in recent studies, leading
to the description of Long-COVID. We report the lasting symptom burden of COVID-19 …

Classification of histopathologic images and identification of cancerous areas is quite
challenging due to image background complexity and resolution. The difference between …

The paper describes an open source computer vision-based hardware structure and
software algorithm, which analyzes layer-wise 3-D printing processes, tracks printing errors …

This paper proposes an automated diagnostic tool namely, Auto-MyIn, for diagnosing
myocardial infarction (MI) using multiple convolutional neural networks (CNN). Rather than …

Colorectal cancer (CRC) is one of the widely happening cancers among men and women.
This cancer, which is also known as bowel cancer, affects the human large intestine …

Background Textbook outcome (TO) is a multidimensional measure reflecting the ideal
outcome after surgery. As a benchmarking tool, it provides an objective overview of quality of …

In the field of breast cancer research, and more than ever, new computer aided diagnosis
based systems have been developed aiming to reduce diagnostic tests false-positives …

Identification of protein–protein interactions (PPIs) is a difficult and important problem in
biology. Since experimental methods for predicting PPIs are both expensive and time …