Simple Summary Esophageal adenocarcinoma is increasing in incidence and is the most
common subtype of esophageal cancer in Western societies. AI systems are currently under …

Barrett's esophagus is associated with an increased risk of adenocarcinoma. Thorough
screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting …

Despite being widely utilized to help endoscopists identify gastrointestinal (GI) tract diseases
using classification and segmentation, models based on convolutional neural network …

Simple Summary The implementation of artificial intelligence in healthcare has gained
significant momentum over the last decade, particularly in specialties where image analysis …

Simple Summary The timely detection and accurate classification of esophageal cancer are
critical for providing optimal treatment. However, assessing and categorizing pathological …

Barrett's esophagus (BE) represents a pre-malignant condition characterized by abnormal
cellular proliferation in the distal esophagus. A timely and accurate diagnosis of BE is …

Background The incidence and mortality of lung cancer ranks first in China. Bronchoscopy is
one of the most common diagnostic methods for lung cancer. In recent years, image …

Esophageal cancer is a major cause of cancer-related mortality worldwide, with significant
regional disparities. Early detection of precursor lesions is essential to improve patient …

Automatic and accurate segmentation and classification of esophageal lesions are two
essential tasks to assist endoscopists in Upper Gastrointestinal Endoscopy. However, there …

Background and Objective: A deep learning-based intelligent diagnosis system can
significantly reduce the burden of endoscopists in the daily analysis of esophageal lesions …