Evidence map›Paper›PMID 34679575›Full record

ArticleDiagnostics (Basel, Switzerland)2021

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

Manh Cuong Hoang, Kim Tien Nguyen, Jayoung Kim, Jong-Oh Park, Chang-Sei Kim

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Manh Cuong HoangSchool of Mechanical Engineering, Chonnam National University, Gwangju 61186, Korea.ORCID 0000-0001-6816-339X
Kim Tien NguyenKorea Institute of Medical Microrobotics, Gwangju 61011, Korea.ORCID 0000-0003-1260-3610
Jayoung KimKorea Institute of Medical Microrobotics, Gwangju 61011, Korea.
Jong-Oh ParkKorea Institute of Medical Microrobotics, Gwangju 61011, Korea.
Chang-Sei KimSchool of Mechanical Engineering, Chonnam National University, Gwangju 61186, Korea.ORCID 0000-0003-4532-2006
Chonnam National University · KR

Funding

Korea Health Industry Development Institute HI19C0642
6 · The paper itself

Abstract

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.

Indexed as

active locomotion capsule endoscopecapsule localizationdeep learningmagnetic capsule endoscopepolyp detection

Identifiers

PMID34679575
PMCPMC8535114
OpenAlexW3206307758

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.