Automated Bowel Polyp Detection Based on Actively Controlled Capsule Endoscopy: Feasibility Study

Autor: Manh Cuong Hoang, Kim Tien Nguyen, Jayoung Kim, Jong-Oh Park, Chang-Sei Kim
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Diagnostics, Vol 11, Iss 10, p 1878 (2021)
Druh dokumentu: article
ISSN: 2075-4418
DOI: 10.3390/diagnostics11101878
Popis: This paper presents an active locomotion capsule endoscope system with 5D position sensing and real-time automated polyp detection for small-bowel and colon applications. An electromagnetic actuation system (EMA) consisting of stationary electromagnets is utilized to remotely control a magnetic capsule endoscope with multi-degree-of-freedom locomotion. For position sensing, an electronic system using a magnetic sensor array is built to track the position and orientation of the magnetic capsule during movement. The system is integrated with a deep learning model, named YOLOv3, which can automatically identify colorectal polyps in real-time with an average precision of 85%. The feasibility of the proposed method concerning active locomotion and localization is validated and demonstrated through in vitro experiments in a phantom duodenum. This study provides a high-potential solution for automatic diagnostics of the bowel and colon using an active locomotion capsule endoscope, which can be applied for a clinical site in the future.
Databáze: Directory of Open Access Journals