SU

Xiaochun Lei, Xiang Cai, Linjun Lu, Zihang Cui, Zetao Jiang

Abstract read

In one paragraph

Article in Scientific reports, 2023. 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.

RGB-D salient object detection via convolutional capsule network based on feature extraction and integration.Scientific reports · 2023
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

5 authors.

Xiaochun Lei *School of Computer Science and Information Security, Guilin University of Electronic Technology, GuiLin, 541010, Guangxi, China.

Xiang Cai *School of Computer Science and Information Security, Guilin University of Electronic Technology, GuiLin, 541010, Guangxi, China.

Linjun LuSchool of Computer Science and Information Security, Guilin University of Electronic Technology, GuiLin, 541010, Guangxi, China.

Zihang CuiSchool of Computer Science and Information Security, Guilin University of Electronic Technology, GuiLin, 541010, Guangxi, China.

Zetao JiangSchool of Computer Science and Information Security, Guilin University of Electronic Technology, GuiLin, 541010, Guangxi, China. zetaojiang@guet.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salient object detection is vital for non-specific class subject segmentation in computer vision applications. However, accurately segmenting foreground subjects with complex backgrounds and intricate boundaries remains a challenge for existing methods. To address these limitations, our study proposes SU

Identifiers

PMID37582948

DOI10.1038/s41598-023-40175-9

PMCPMC10427708

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.