The detection and classification of Barrett’s Esophagus are considered difficult due to its appearance and properties. The diagnosis is usually done through both endoscopy and biopsy. With the rising use of endoscopy and the analysis of image/videos features endorsed the process of automated detection/classification of precancerous or early cancer stages. Before the presence of these new technologies of the endoscope the process of early detection was considered problematic and for the process of classification required several biopsies. The investigation of these images showed that the deformation of cell stages are considered difficult to differentiative between them due the very high similarity of the cell structure in the each stage.
The current proposed model for Barrett’s classification was a winner for sub-challenge of “Analysis of Image to Detect Abnormalities in Endoscopy”.