  Endoscopic diagnosis is an important means for gastric polyp detection. In
this paper, a panoramic image of gastroscopy is developed, which can display
the inner surface of the stomach intuitively and comprehensively. Moreover, the
proposed automatic detection solution can help doctors locate the polyps
automatically, and reduce missed diagnosis. The main contributions of this
paper are: firstly, a gastroscopic panorama reconstruction method is developed.
The reconstruction does not require additional hardware devices, and can solve
the problem of texture dislocation and illumination imbalance properly;
secondly, an end-to-end multi-object detection for gastroscopic panorama is
trained based on deep learning framework. Compared with traditional solutions,
the automatic polyp detection system can locate all polyps in the inner wall of
stomach in real time and assist doctors to find the lesions. Thirdly, the
system was evaluated in the Affiliated Hospital of Zhejiang University. The
results show that the average error of the panorama is less than 2 mm, the
accuracy of the polyp detection is 95%, and the recall rate is 99%. In
addition, the research roadmap of this paper has guiding significance for
endoscopy-assisted detection of other human soft cavities.
