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 |
Externí odkaz: |
|