Extended query refinement for content-based access to large medical-image databases

Plodowski, Bartosz; Spitzer, Klaus; Wein, B.; Ney, Hermann; Seidl, Thomas

doi:10.1117/12.534964

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…Since then, CBIR has been applied in medical research and is now established in some commercial systems, too. Presented almost 20 years ago at Medical Imaging, these SPIE papers 96 , 97 were one of the first transferring CBIR into the medical domain, long before the follow-ups were published peer-reviewed in the Methods of Information in Medicine (2004) 98 and in the Journal of Digital Imaging (2008), 99 respectively. The latter received the Journal of Digital Imaging 2008 Best Paper Award, First Place (technical).…”

Section: Resultsmentioning

confidence: 99%

Fifty years of SPIE Medical Imaging proceedings papers

et al. 2022

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. Purpose: To commemorate the 50th anniversary of the first SPIE Medical Imaging meeting, we highlight some of the important publications published in the conference proceedings. Approach: We determined the top cited and downloaded papers. We also asked members of the editorial board of the Journal of Medical Imaging to select their favorite papers. Results: There was very little overlap between the three methods of highlighting papers. The downloads were mostly recent papers, whereas the favorite papers were mostly older papers. Conclusions: The three different methods combined provide an overview of the highlights of the papers published in the SPIE Medical Imaging conference proceedings over the last 50 years.

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Section: Resultsmentioning

confidence: 99%

Fifty years of SPIE Medical Imaging proceedings papers

et al. 2022

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“…This labeling was carried out using the Image Retrieval in Medical Applications (IRMA) framework (http://irma-project.org). In particular, the IRMA Web-based interfaces for reference categorization were used for computer-assisted coding of illustrations [7,24]. The hierarchical, multi-axial IRMA code [25] was extended to capture the characteristics of illustrations in scientific papers.…”

Section: Database and Reference Categorizationmentioning

confidence: 99%

Content-based Image Retrieval for Scientific Literature Access

Deserno

Long²

2009

Methods Inf Med

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“…The ability of physicians to express their search needs and to navigate their search results accurately and easily is crucial in CBMIR systems [172], especially for retrieval of multidimensional medical images by volumetric features. In Kim et al [161], the VOI-FIRS was responsive to user interaction in the retrieval process.…”

Section: Retrieval By 3d Volumetric Featuresmentioning

confidence: 99%