Multi-Modal Content Based Image Retrieval in Healthcare
Jinman Kim, Ashnil Kumar, Tom Weidong Cai, Dagan D. Feng · IGI Global eBooks · 2011
Multi-modal imaging requires innovations in algorithms and methodologies in all areas of CBIR, including feature extraction and representation, indexing, similarity measurement, grouping of similar retrieval results, as well as user interaction. In this chapter, we will discuss the rise of multi-modal imaging in clinical practice. We will summarize some of our pioneering CBIR achievements working with these data, exemplified by a specific application domain of PET-CT. We will also discuss the future challenges in this significantly important emerging area.