Adapting content-based image retrieval techniques for the semantic annotation of medical images

Medical imaging is a fundamental component of modern healthcare with roles in patient diagnosis, treatment planning, and assessment of response to therapy. A direct consequence of this is the rise in medical imaging informatics research, including content-based image retrieval  [1,2], modality-classification and case-based retrieval  [3], classification  [4,5], and annotation  [5–7]. Semantic image annotation is also emerging as a research question, in which the main research challenge is to detect subtle differences in low-level image features and to relate them to higher-level labels derived from a standard terminology.

Source: Computerized Medical Imaging and Graphics - February 4, 2016 Category: Radiology Authors: Ashnil Kumar, Shane Dyer, Jinman Kim, Changyang Li, Philip H.W. Leong, Michael Fulham, Dagan Feng Source Type: research