ArticleInternational journal of healthcare information systems and informatics : official publication of the Information Resources Management Association2009
Content-Based Image Retrieval in Medicine: Retrospective Assessment, State of the Art, and Future Directions.
Article in International journal of healthcare information systems and informatics : official publication of the Information Resources Management Association, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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
11 citing papers in PubMed.
- Reliability of foundation models for image retrieval in histopathology.Npj imaging · 2026Article
- Artificial intelligence and robotic surgery in clinical medicine: progress, challenges, and future directions.Future science OA · 2025Review
- On image search in histopathology.Journal of pathology informatics · 2024Review
- Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence.NPJ digital medicine · 2020Article
- Overview on subjective similarity of images for content-based medical image retrieval.Radiological physics and technology · 2018Review
- Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2014Article
- Content-based medical image retrieval: a survey of applications to multidimensional and multimodality data.Journal of digital imaging · 2013Review
- Designing user interfaces to enhance human interpretation of medical content-based image retrieval: application to PET-CT images.International journal of computer assisted radiology and surgery · 2013Article
- Determining similarity in histological images using graph-theoretic description and matching methods for content-based image retrieval in medical diagnostics.Diagnostic pathology · 2012Article
- Prototypes for content-based image retrieval in clinical practice.The open medical informatics journal · 2011Article
- SPIRS: a Web-based image retrieval system for large biomedical databases.International journal of medical informatics · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Content-based image retrieval (CBIR) technology has been proposed to benefit not only the management of increasingly large image collections, but also to aid clinical care, biomedical research, and education. Based on a literature review, we conclude that there is widespread enthusiasm for CBIR in the engineering research community, but the application of this technology to solve practical medical problems is a goal yet to be realized. Furthermore, we highlight "gaps" between desired CBIR system functionality and what has been achieved to date, present for illustration a comparative analysis of four state-of-the-art CBIR implementations using the gap approach, and suggest that high-priority gaps to be overcome lie in CBIR interfaces and functionality that better serve the clinical and biomedical research communities.
Identifiers
What 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.