Purpose Detection of gastrointestinal (GI) diseases involves several expensive, challenging,
and time-consuming procedures. Deep learning techniques-based computer-aided …

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 …

Gastrointestinal diseases cause around two million deaths globally. Wireless capsule
endoscopy is a recent advancement in medical imaging, but manual diagnosis is …

Wireless capsule endoscopy (WCE) enables imaging and diagnostics of the gastrointestinal
(GI) tract to be performed without any discomfort. Despite this, several characteristics …

Accurate detection of gastrointestinal illnesses is decisive for early cancer diagnosis and its
treatment. However, manual analysis is time-consuming and requires a professional …

Purpose: Gastrointestinal disorders are a class of prevalent disorders in the world. Capsule
endoscopy is considered as an effective diagnostic modality for diagnosis of such …

Wireless capsule endoscopy is a non-invasive medical imaging modality used for
diagnosing and monitoring digestive tract diseases. However, the analysis of images …

Gastrointestinal tract (GIT) infections such as ulcers, bleeding, polyps, Crohn's disease and
cancer are quite familiar today worldwide. Wireless capsule endoscopy (WCE) is an efficient …

Accurate patient disease classification and detection through deep-learning (DL) models are
increasingly contributing to the area of biomedical imaging. The most frequent …

A novel computer-aided detection method based on deep learning framework was proposed
to detect small intestinal ulcer and erosion in wireless capsule endoscopy (WCE) images. To …