A new method for the automatic retrieval of medical cases based on the RadLex ontology
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- 作者：A. B. Spanier ; D. Cohen ; L. Joskowicz
- 关键词：Medical Content ; Based Image Retrieval ; RadLex ontology ; Similarity metric ; Relatedness
- 刊名：International Journal of Computer Assisted Radiology and Surgery
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：12
- 期：3
- 页码：471-484
- 全文大小：
- 刊物主题：Imaging / Radiology; Surgery; Health Informatics; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Science, general;
- 出版者：Springer International Publishing
- ISSN：1861-6429
- 卷排序：12
文摘
PurposeThe goal of medical case-based image retrieval (M-CBIR) is to assist radiologists in the clinical decision-making process by finding medical cases in large archives that most resemble a given case. Cases are described by radiology reports comprised of radiological images and textual information on the anatomy and pathology findings. The textual information, when available in standardized terminology, e.g., the RadLex ontology, and used in conjunction with the radiological images, provides a substantial advantage for M-CBIR systems.