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Mining biomedical images towards valuable information retrieval in biomedical and life sciences

Please always quote using this URN: urn:nbn:de:bvb:20-opus-162697
  • Biomedical images are helpful sources for the scientists and practitioners in drawing significant hypotheses, exemplifying approaches and describing experimental results in published biomedical literature. In last decades, there has been an enormous increase in the amount of heterogeneous biomedical image production and publication, which results in a need for bioimaging platforms for feature extraction and analysis of text and content in biomedical images to take advantage in implementing effective information retrieval systems. In thisBiomedical images are helpful sources for the scientists and practitioners in drawing significant hypotheses, exemplifying approaches and describing experimental results in published biomedical literature. In last decades, there has been an enormous increase in the amount of heterogeneous biomedical image production and publication, which results in a need for bioimaging platforms for feature extraction and analysis of text and content in biomedical images to take advantage in implementing effective information retrieval systems. In this review, we summarize technologies related to data mining of figures. We describe and compare the potential of different approaches in terms of their developmental aspects, used methodologies, produced results, achieved accuracies and limitations. Our comparative conclusions include current challenges for bioimaging software with selective image mining, embedded text extraction and processing of complex natural language queries.show moreshow less

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Metadaten
Author: Zeeshan Ahmed, Saman Zeeshan, Thomas Dandekar
URN:urn:nbn:de:bvb:20-opus-162697
Document Type:Journal article
Faculties:Fakultät für Biologie / Theodor-Boveri-Institut für Biowissenschaften
Language:English
Parent Title (English):Database - The Journal of Biological Databases and Curation
Year of Completion:2016
Volume:2016
Pagenumber:baw118
Source:Database, 2016, 1–17 doi: 10.1093/database/baw118
DOI:https://doi.org/10.1093/database/baw118
Pubmed Id:http://www.ncbi.nlm.nih.gov/pubmed?term=PMC4990152
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Tag:animals; computer-assisted; data mining/methods; humans; image processing; natural language processing; software
Release Date:2018/08/22
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International