@inproceedings{464494d195544cd889cb986ad60db1fc,
title = "Classification-driven pathological neuroimage retrieval using statistical asymmetry measures",
abstract = "This paper reports our methodology and initial results on volumetric pathological neuroimage retrieval. A set of novel image features are computed to quantify the statistical distributions of approximate bilateral asymmetry of normal and pathological human brains. We apply memory-based learning method to find the most-discriminative feature subset through image classification according to predefined semantic categories. Finally, this selected feature subset is usedas indexing features to retrieve medically similar images under a semantic-based image retrieval framework. Quantitative evaluations are provided.",
author = "Y. Liu and F. Dellaert and Rothfus, {W. E.} and A. Moore and J. Schneider and T. Kanade",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 ; Conference date: 14-10-2001 Through 17-10-2001",
year = "2001",
doi = "10.1007/3-540-45468-3_79",
language = "English (US)",
isbn = "3540426973",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "655--665",
editor = "Niessen, {Wiro J.} and Viergever, {Max A.}",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings",
address = "Germany",
}