We propose to use the sparseness property of the gradient probability distribution to estimate the intensity nonuniformity in medical images, resulting in two novel automatic metho...
Yuanjie Zheng, Murray Grossman, Suyash P. Awate,...
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
We present a system capable of interpreting speech commands given by a radiologist in order to accurately diagnose a set of findings and impressions for medical images, such as M...
Tim Weninger, Daniel Greene, Jack Hart, William H....
Fast retrieval using organ shapes is crucial in medical image databases since shape is a clinically prominent feature. In this paper, we propose that 2-D shapes in medical image da...
In this paper we consider a general framework for clustering expression data that permits integration of various biological data sources through combination of corresponding dissi...