Dr. Mostafa presented his research at the University of Buffalo's Department of Biomedical Informatics Grand Rounds on Thursday, December 7, 2017.
Title: Alzheimer Image Storage, Retrieval and Analysis using ViewFinder
Significant technical advances have been made in image processing and analysis. However, their applications to medical image retrieval, particularly in realistic clinical settings, have been limited. Our goal is to conduct classification and indexing of medical images in near real-time, i.e., soon after the image capture process is completed. A related goal is to support highly precise retrieval and analysis functions over a dynamic image collection -- a collection which continuously grows and changes.
We created a research platform, called ViewFinder, designed to support image manipulation by specialists in the domain of Alzheimer. Currently, the system supports several retrieval functions based on textual metadata. As training and testing collections we are using the pre-classified image data set from the Alzheimer Disease Neuroimaging Initiative (ADNI) at UCLA.
In this presentation, he will discuss the case of a trade-off between representation and access in the context of functions supported in ViewFinder and present experimental results to demonstrate how a balance between representation and access potentially can be achieved
