Evidence map›Paper›PMID 27904975›Full record

ArticleJournal of digital imaging2017

RayPlus: a Web-Based Platform for Medical Image Processing.

Rong Yuan, Ming Luo, Zhi Sun, Shuyue Shi, Peng Xiao, Qingguo Xie

Abstract read
In one paragraph

Article in Journal of digital imaging, 2017. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Rong YuanCollege of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Rd, Wuhan, Hubei, 430074, China.
Ming LuoCollege of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Rd, Wuhan, Hubei, 430074, China.
Zhi SunCollege of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Rd, Wuhan, Hubei, 430074, China.
Shuyue ShiCollege of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Rd, Wuhan, Hubei, 430074, China.
Peng XiaoCollege of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Rd, Wuhan, Hubei, 430074, China.
Qingguo XieCollege of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Rd, Wuhan, Hubei, 430074, China. qgxie@hust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical image can provide valuable information for preclinical research, clinical diagnosis, and treatment. As the widespread use of digital medical imaging, many researchers are currently developing medical image processing algorithms and systems in order to accommodate a better result to clinical community, including accurate clinical parameters or processed images from the original images. In this paper, we propose a web-based platform to present and process medical images. By using Internet and novel database technologies, authorized users can easily access to medical images and facilitate their workflows of processing with server-side powerful computing performance without any installation. We implement a series of algorithms of image processing and visualization in the initial version of Rayplus. Integration of our system allows much flexibility and convenience for both research and clinical communities.

Indexed as

AlgorithmsDatabases, FactualImage Processing, Computer-AssistedInternetRadiology Information SystemsSoftwareHumansDigital image processingMedical displaysSoftware designWeb technology

Identifiers

PMID27904975
PMCPMC5359205

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.