Name
Abstract | ||
|---|---|---|
Content-based image retrieval (CBIR) is a promising tech- nology to enrichthe corefunctionalityof picturearchiving and communication systems (PACS). CBIR has a poten- tial for making a strong impact in diagnostics, research, and education. Research as reported in the scientific literature, however, has not made significant inroads as medical CBIR applications incorporated into routine clinical medicineormedicalresearch. Thecauseisoftenattributed (without supporting analysis) to the inability of these ap- plications in overcoming the "semantic gap." The seman- tic gap divides the high-level scene understanding and interpretation available with human cognitive capabilities from the low-level pixel analysis of computers, based on mathematical processing and artificial intelligence meth- ods. In this paper, we suggest a more systematic and comprehensive view of the concept of "gaps" in medical CBIR research. In particular, we define an ontology of 14 gaps that addresses the image content and features, as well as system performance and usability. In addition to these gaps, we identify seven system characteristics that impact CBIR applicability and performance. The frame- work we have created can be used a posteriori to compare medical CBIR systems and approaches for specific bio- medical image domains and goals and a priori during the design phase of a medical CBIR application, as the sys- tematic analysis of gaps provides detailed insight in sys- tem comparison and helps to direct future research. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s10278-007-9092-x | J. Digital Imaging |
Keywords | Field | DocType |
Content-based image retrieval (CBIR),pattern recognition,picture archiving and communication systems (PACS),information system integration,data mining,information retrieval,semantic gap | Ontology,Scientific literature,Information retrieval,Computer science,Semantic gap,A priori and a posteriori,Usability,Image retrieval,Medical research,Content-based image retrieval | Journal |
Volume | Issue | ISSN |
22 | 2 | 1618-727X |
Citations | PageRank | References |
52 | 3.13 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Martin Deserno | 1 | 530 | 67.07 |
| Sameer Antani | 2 | 1402 | 134.03 |
| L. Rodney Long | 3 | 534 | 56.98 |