Evidence map›Paper›PMID 35845422›Full record

ArticleFrontiers in bioengineering and biotechnology2022

FRCNet: Feature Refining and Context-Guided Network for Efficient Polyp Segmentation.

Liantao Shi, Yufeng Wang, Zhengguo Li, Wen Qiumiao

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Liantao ShiSchool of Automobile and Transportation Engineering, Shenzhen Polytechnic, Shenzhen, China.
Yufeng WangSchool of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, China.
Zhengguo LiSchool of Automobile and Transportation Engineering, Shenzhen Polytechnic, Shenzhen, China.
Wen QiumiaoDepartment of Mathematics, School of Sciences, Zhejiang Sci-Tech University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer, also known as rectal cancer, is one of the most common forms of cancer, and it can be completely cured with early diagnosis. The most effective and objective method of screening and diagnosis is colonoscopy. Polyp segmentation plays a crucial role in the diagnosis and treatment of diseases related to the digestive system, providing doctors with detailed auxiliary boundary information during clinical analysis. To this end, we propose a novel light-weight feature refining and context-guided network (

Indexed as

deep learningenhanced context-calibrated modulemulti-scale pyramid aggregationpolyp segmentationprogressive context-aware fusion module

Identifiers

PMID35845422
PMCPMC9277544

What OpenQuestion holds

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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.