Region-based retrieval of biomedical images

Research output: Contribution to conferencePaper

4 Scopus citations


Searching digital biomedical images is a challenging problem. Prevalent retrieval techniques involve human-supplied text annotations to describe image contents. Biomedical images, such as pathology slides, usually have higher resolution than general-purpose pictures, making it additionally difficult to index. Precise object segmentation is also extremely difficult and is still an open problem. We are developing a multiresolution region-based retrieval system for high-resolution biomedical image databases. The system, based on wavelets, the IRM (Integrated Region Matching) distance, and image classification, is highly robust to inaccurate image segmentation and various visual alterations. Tested on a database of more than 70,000 pathology image fragments, the system has demonstrated high accuracy and fast speed.

Original languageEnglish (US)
Number of pages2
Publication statusPublished - Dec 1 2000
Event8th ACM International Conference on Multimedia (ACM Multimedia 2000) - Los Angeles, CA, United States
Duration: Oct 30 2000Nov 4 2000


Other8th ACM International Conference on Multimedia (ACM Multimedia 2000)
CountryUnited States
CityLos Angeles, CA


All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Wang, J. Z. (2000). Region-based retrieval of biomedical images. 511-512. Paper presented at 8th ACM International Conference on Multimedia (ACM Multimedia 2000), Los Angeles, CA, United States.