Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …

Background Inflammatory bowel disease (IBD) is a gastrointestinal chronic disease with an
unpredictable disease course. Computational methods such as machine learning (ML) have …

Background and Aims Publicly available databases containing colonoscopic imaging data
are valuable resources for artificial intelligence (AI) research. Currently, little is known …

Wireless capsule endoscopy is a noninvasive wireless imaging technology that becomes
increasingly popular in recent years. One of the major drawbacks of this technology is that it …

With an intention to assist gastroenterologists, this work proposes an intelligent method to
classify alimentary canal diseases such as Barrett's, Esophagitis, Hemorrhoids, Polyps, and …

Gastrointestinal (GI) diseases are the most common in the human digestive system and has
a significantly higher mortality rate. Accurate evaluation of endoscopic images plays an …

In the decade, artificial intelligence has achieved great popularity and applications in
medicine and healthcare. Various AI-based algorithms have shown astonishing …

Cancer is a difficult disease and one of the leading causes of human mortality. There are
various types of cancers associated with various parts of human anatomy. Among all cancer …

Lung cancer is one of the world's deadliest cancers and one of the highest mortality rates.
There has been a recent increase in the prevalence of lung cancer. The key aim of this …

Endoscopic procedures for diagnosing gastrointestinal tract findings depend on specialist
experience and inter-observer variability. This variability can cause minor lesions to be …