Detection and segmentation of multi-class artifacts in endoscopy.

Author: Yan-Yi ZHANG ¹ ; Di XIE ²
Author Information

1. Department of Psychology, the Children's Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, China.
2. Hikvision Research Institute, Hangzhou 310052, China.
Publication Type:Journal Article
Keywords: Endoscopic diagnosis; Detection and segmentation; Multi-class artifacts; Cascade R-CNN; PSPNet
MeSH: Artifacts; Early Detection of Cancer/methods*; Endoscopy/methods*; Humans; Neural Networks, Computer
From: Journal of Zhejiang University. Science. B 2019;20(12):1014-1020
CountryChina
Language:English
Abstract: Endoscopy may be used for early screening of various cancers, such as nasopharyngeal cancer, esophageal adenocarcinoma, gastric cancer, colorectal cancer, and bladder cancer, and performing minimal invasive surgical procedures, such as laparoscopy surgery. During this procedure, an endoscope is used; it is a long, thin, rigid, or flexible tube having a light source and a camera at the tip, which facilitates visualization inside the affected organs on a screen and helps doctors in diagnosis.