Artificial Intelligence-Based Multiclass Classification of Benign or Malignant Mucosal Lesions of the Stomach.

ABSTRACT: Gastric cancer (GC) is one of the leading causes of cancer-related death worldwide. It takes some time from chronic gastritis to develop in GC. Early detection of GC will help patients obtain timely treatment. Understanding disease evolution is crucial for the prevention and treatment of GC. Here, we present a convolutional neural network (CNN)-based system to detect abnormalities in the gastric mucosa. We identified normal mucosa, chronic gastritis, and intestinal-type GC: this is the most common route of gastric carcinogenesis. We integrated digitalizing histopathology of whole-slide images (WSIs), stain normalization, a deep CNN, and a random forest classifier. The staining variability of WSIs was reduced significantly through stain normalization, and saved the cost and time of preparin

SUBMITTER: Ma B 

PROVIDER: S-EPMC7562716 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature