Background and objectives Gastric cancer has high morbidity and mortality compared to
other cancers. Accurate histopathological diagnosis has great significance for the treatment …

Nonalcoholic fatty liver disease (NAFLD), a leading cause of chronic hepatic disease, can
progress to liver fibrosis, cirrhosis, and hepatocellular carcinoma. Therefore, it is extremely …

Artificial neural networks (ANNs) are one of the primary types of artificial intelligence and
have been rapidly developed and used in many fields. In recent years, there has been a …

Background. Research on intelligent tongue diagnosis is a main direction in the
modernization of tongue diagnosis technology. Identification of tongue shape and texture …

The most common method for diagnosing and treating gastrointestinal (GI) malignancies is
optical endoscopy. Precancerous lesions account for most of the gastrointestinal neoplasms …

The traditional manual inspection mode is inefficient for detecting transmission line
insulators. Even in the case of the detection system generated by combining aerial images …

Simple Summary This study explored the role of CT-based deep learning in detecting
colorectal cancer tumor location and preoperatively predicting the stage and RAS gene …

The recognition mechanism of artificial intelligence (AI) is an interesting topic in
understanding AI neural networks and their application in therapeutics. A number of …

Background The accuracy of preoperative staging is crucial for cT4 stage gastric cancer
patients. The aim of this study was to develop the radiomics model and evaluate its …

Purpose To construct the deep learning system (DLS) based on enhanced computed
tomography (CT) images for preoperative prediction of staging and human epidermal growth …