Assessing deep learning models for multi-class upper endoscopic disease segmentation: A comprehensive comparative study

Figure 7 Examples of segmentation output visualizations of the top-two- and worst-performing models of each model category on the EDD2020 dataset. Light blue: Fully overlapping regions; Medium blue: Two-map overlaps; Dark blue: Single-map regions; Pink: Barrett’s esophagus ground truth masks; Lime: Suspicious regions ground truth masks; Blue: High-grade dysplasia ground truth masks; Yellow: Cancer; PVTV2: Pyramid vision transformer v2; Sus: Suspicious precancerous lesions; EMCAD: Efficient multi-scale convolutional decoding; HGD: High-grade dysplasia; BE: Barrett’s esophagus.