Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …

Gastrointestinal (GI) diseases are serious health threats to human health, and the related
detection and treatment of gastrointestinal diseases place a huge burden on medical …

The rising prevalence of gastrointestinal (GI) tract disorders worldwide highlights the urgent
need for precise diagnosis, as these diseases greatly affect human life and contribute to …

Gastrointestinal (GI) tract diseases are on the rise in the world. These diseases can have
fatal consequences if not diagnosed in the initial stages. WCE (wireless capsule endoscopy) …

Endoscopy is a widely used technique for the early detection of diseases or robotic-assisted
minimally invasive surgery (RMIS). Numerous deep learning (DL)-based research works …

Capsule endoscopy (CE) is a widely used medical imaging tool for the diagnosis of
gastrointestinal tract abnormalities like bleeding. However, CE captures a huge number of …

Accurate and reliable segmentation of colorectal polyps is important for the diagnosis and
treatment of colorectal cancer. Most of the existing polyp segmentation methods innovatively …

Diseases of the Gastrointestinal (GI) tract significantly affect the quality of human life and
have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare …

As a powerful analytic tool for medical image analysis, particularly for endoscopic image
interpretation, deep convolutional neural network (DCNN) has gained remarkable attention …

Accurate segmentation of lesions in medical images is a key step to assist clinicians in
diagnosis and analysis. Most studies combine the Transformer model with CNN at a single …