Affiliation:
1. Bahçesehir University, Turkey
Abstract
Progress in medical imaging technology together with the increasing demand for confirming a diagnostic decision with objective, repeatable, and reliable measures for improved healthcare have multiplied the number of digital medical images that need to be processed, stored, managed, and searched. Comparison of multiple patients, their pathologies, and progresses by using image search systems may largely contribute to improved diagnosis and education of medical students and residents. Supporting image content information with contextual knowledge will lead to increased reliability, robustness, and accuracy in search results. To this end, the authors present an image search system that permits search by a multitude of image features (content), and demographics, patient’s medical history, clinical data, and ontologies (context). Moreover, they validate the system’s added value in dementia diagnosis via evaluations on publicly available image databases.
Reference25 articles.
1. Cortical Surface-Based Analysis
2. Felipe, J. C., Traina, A. J. M., & Traina, C., Jr. (2003). Retrieval by content of medical images using texture for tissue identification. In Proceedings of 16th IEEE Symposium on Computer-Based Medical Systems, (pp. 175-180). IEEE Press.
3. Selective Automated Indexing of Findings and Diagnoses in Radiology Reports
4. A knowledge-based approach for retrieving images by content
5. Hu, B., Dasmahapatra, S., Lewis, P., & Shadbolt, N. (2003). Ontology-based medical image annotation with description logics. In Proceedings 15th IEEE International Conference on Tools with Artificial Intelligence, (pp. 77- 82). Sacramento, CA: IEEE Press.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献