ArticleInternational journal of health sciences
Analysis of human brain by magnetic resonance imaging using content-based image retrieval.
Article in International journal of health sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- Assessment of the low-field magnetic resonance imaging for the brain scan imaging of the infant hydrocephalus.International journal of health sciencesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveContent-based image retrieval (CBIR) is the most suitable and alternative method for older text searches that use keywords. This article aims to improve feature extraction as well as matching techniques designed for more accurate and precise CBIR systems, especially for brain scan images associated with various brain diseases and abnormalities. Tests should be described at an appropriate success rate.
methodsVarious methods of producing medical images are discussed, and examples of biological applications are given. The discussion emphasizes as an introduction to CBIR the new method of echo-planar imaging, which is fully described. We have done here many methods related to digital image processing and we had developed a code for retrieving everything automatically. This application has been developed in Matlab software.
resultsTesting the correctness and effectiveness of the system evolved becomes more important when the system is going to be used in real-time and more when it is for humankind, i.e., medical diagnosis. Nowadays, our science and technology areas as develop as we can say that we have such advanced medical equipment so that our thought and program can be capable that it is giving us useful results. Determining if whether the two images are identical or not, it depends on the point of view of the person.
conclusionsIn this paper, the outcome of feature extraction and matching by setting cutoff limit and threshold is pretty promising. Further studies can be done apart from computed tomography scans for a more generalized CBIR system.
Indexed as
Identifiers
32206054PMC7069661What OpenQuestion holds
Registered trials
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.