Evidence map›Paper›PMID 27730392›Full record

ArticleJournal of medical systems2016

A Novel Endoscope System for Position Detection and Depth Estimation of the Ureter.

Enmin Song, Feng Yu, Hong Liu, Ning Cheng, Yunlong Li, Lianghai Jin, Chih-Cheng Hung

Abstract read
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Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Enmin SongSchool of Computer and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Feng YuSchool of Computer and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Hong LiuSchool of Computer and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China. hl.cbib@gmail.com.
Ning ChengSchool of Computer and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Yunlong LiDepartment of Urology, Affiliated Kunsan Hospital of Jiangsu University, Kunshan Jiangsu, 215300, China.
Lianghai JinSchool of Computer and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Chih-Cheng HungCenter for Machine Vision and Security Research, Kennesaw State University, 1000 Chastain Rd., Kennesaw, GA, 30144, USA.
Huazhong University of Science and Technology · CNFirst People's Hospital of Kunshan · CNKennesaw State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iatrogenic injury of ureter occurs occasionally in the clinical laparoscopic surgery. The ureter injury may cause the serious complications and kidney damage. To avoid such an injury, it is necessary to detect the ureter position in real-time. Currently, the endoscope cannot perform this type of function in detecting the ureter position in real-time. In order to have the real-time display of ureter position during the surgical operation, we propose a novel endoscope system which consists of a modified endoscope light and a new lumiontron tube with the LED light. The endoscope light is modified to detect the position of ureter by using our proposed dim target detection algorithm (DTDA). To make this new system functioning, two algorithmic approaches are proposed for the display of ureter position. The horizontal position of ureter is detected by the center line extraction method and the depth of ureter is estimated by the depth estimation method. Experimental results demonstrate that the proposed endoscope system can extract the position and depth information of ureter and exhibit superior performance in terms of accuracy and stabilization.

Indexed as

AlgorithmsEndoscopesEquipment DesignHumansImaging, Three-DimensionalUreterCenter line extraction methodDepth estimation methodDim target detection algorithm (DTDA)Endoscope systemUreter injury

Identifiers

PMID27730392
OpenAlexW2531159481

What OpenQuestion holds

Textmetadata
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.