Endoscopic resection is recommended for gastric neoplasms confined to mucosa or
superficial submucosa. The determination of invasion depth is based on gross morphology …

Background and Aims According to guidelines, endoscopic resection should only be
performed for patients whose early gastric cancer invasion depth is within the mucosa or …

Abstract Background and Aim Recently, artificial intelligence (AI) has been used in
endoscopic examination and is expected to help in endoscopic diagnosis. We evaluated the …

Background Deep learning models have previously been established to predict the
histopathology and invasion depth of gastric lesions using endoscopic images. This study …

Background In a previous study, we examined the use of deep learning models to classify
the invasion depth (mucosa-confined versus submucosa-invaded) of gastric neoplasms …

Background The aim of this study was to investigate the efficacy of diagnosing depth of wall
invasion of gastric cancer on endoscopic images using computer-aided pattern recognition …

Background and Aims We aimed to develop and validate a deep learning–based system
that covers various aspects of early gastric cancer (EGC) diagnosis, including detecting …

In early gastric cancer (EGC), tumor invasion depth is an important factor for determining the
treatment method. However, as endoscopic ultrasonography has limitations when …

Simple Summary In contrast to shallow submucosal invasion, colorectal cancer with deep
submucosal invasion requires surgical colectomy. However, accurately diagnosing the …

Background and Aims Diagnosing the invasion depth of gastric cancer (GC) is necessary to
determine the optimal method of treatment. Although the efficacy of evaluating macroscopic …