@inproceedings{490add7a09ca4fb69f93df69b3cdb094,
title = "A software framework for combining iconic and semantic content for retrieval of histological images",
abstract = "Content-based Image Retrieval (CBIR) is becoming an important component of a database system as it allows retrieval of images by objective measures such as color and texture. Nevertheless, retrieval of images intelligently by computer is still not common. In addition, different users might have different requirements so we need to address their needs by providing a more flexible retrieval mechanism. Finally, we might want to add CBIR functionality to existing system but none of the existing techniques is able to do this easily because they usually rely on one single environment. In this paper, we describe the design of a histological image retrieval system (I-Browse) that addresses the above three issues.",
author = "Cheung, \{Kent K. T.\} and Lam, \{Ringo W. K.\} and Ip, \{Horace H. S.\} and Tang, \{Lilian H. Y.\} and Rudolf Hanka",
year = "2000",
doi = "10.1007/3-540-40053-2\_43",
language = "English",
isbn = "3540411771",
volume = "1929",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "488--499",
editor = "Robert Laurini",
booktitle = "Advances in Visual Information Systems",
address = "Germany",
note = "4th International Conference on Visual Information Systems, VISUAL 2000 ; Conference date: 02-11-2000 Through 04-11-2000",
}