Evidence map›Paper›PMID 30187316›Full record

ReviewJournal of digital imaging2019

OIPAV: an Integrated Software System for Ophthalmic Image Processing, Analysis, and Visualization.

Lichun Zhang, Dehui Xiang, Chao Jin, Fei Shi, Kai Yu, Xinjian Chen

Abstract readReview
In one paragraph

Review in Journal of digital imaging, 2019. 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

6 authors.

Lichun ZhangSchool of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Dehui XiangSchool of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Chao JinSchool of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Fei ShiSchool of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Kai YuSchool of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
Xinjian ChenSchool of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China. xjchen@suda.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ophthalmic medical images, such as optical coherence tomography (OCT) images and color photo of fundus, provide valuable information for clinical diagnosis and treatment of ophthalmic diseases. In this paper, we introduce a software system specially oriented to ophthalmic images processing, analysis, and visualization (OIPAV) to assist users. OIPAV is a cross-platform system built on a set of powerful and widely used toolkit libraries. Based on the plugin mechanism, the system has an extensible framework. It provides rich functionalities including data I/O, image processing, interaction, ophthalmic diseases detection, data analysis, and visualization. By using OIPAV, users can easily access to the ophthalmic image data manufactured from different imaging devices, facilitate workflows of processing ophthalmic images, and improve quantitative evaluations. With a satisfying function scalability and expandability, the software is applicable for both ophthalmic researchers and clinicians.

Indexed as

EyeEye DiseasesFluorescein AngiographyHumansImage Interpretation, Computer-AssistedTomography, Optical CoherenceComputer aided diagnosisImage analysisImage processingImage visualizationOphthalmic imageSoftware system

Identifiers

PMID30187316
PMCPMC6382642

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.