Intestinal metaplasia (IM) is a histologic finding in gastric and gastroesophageal biopsies, characterized by intestinal-type epithelium and goblet cells. Because IM can appear as small or focal regions, it may be difficult to identify during routine whole-slide review.
We are building an AI-assisted pipeline for detecting IM in H&E-stained whole-slide images. The workflow combines WSI preprocessing, tissue patch extraction, pathologist annotation, model training, validation, and whole-slide inference. The system highlights suspicious IM regions and generates annotation-style outputs, supporting pathologists as a second-reader navigation tool for efficient and sensitive review.
