Artificial intelligence (AI) is a science that involves creating machines that can imitate human
intelligence and learn. AI is ubiquitous in our daily lives, from search engines like Google to …

Data-driven methods have shown tremendous progress in medical image analysis. In this
context, deep learning-based supervised methods are widely popular. However, they …

Increasing demands for artificial intelligence tools in the medical sector show the huge
interest of physicians. In recent years, one of the most effective assistant systems in this field …

Colonoscopy is one of the main methods to detect colon polyps, and its detection is widely
used to prevent and diagnose colon cancer. With the rapid development of computer vision …

Significance Deep learning enables label-free all-optical biopsies and automated tissue
classification. Endoscopic systems provide intraoperative diagnostics to deep tissue and …

Ulcerative Colitis (UC) is a chronic inflammatory bowel disease decreasing life quality
through symptoms such as bloody diarrhoea and abdominal pain. Endoscopy is a …

Given that a conventional laparoscope only provides a two-dimensional (2-D) view, the
detection and diagnosis of medical ailments can be challenging. To overcome the visual …

Objectives Vocal fold leukoplakia (VFL) is a precancerous lesion of laryngeal cancer, and its
endoscopic diagnosis poses challenges. We aim to develop an artificial intelligence (AI) …

Automatic analysis of colonoscopy images has been an active field of research motivated by
the importance of early detection of precancerous polyps. However, detecting polyps during …

Medical image synthesis has emerged as a promising solution to address the limited
availability of annotated medical data needed for training machine learning algorithms in the …