1999
@article{SBK1999,
vgclass = {refpap},
vgproject = {cbir},
author = {Chi-Ren Shyu and Carla E. Brodley and Avinash C. Kak and
Akio Kosaka and Alex M. Aisen and Lynn S. Broderick},
title = {{ASSERT}: A Physician-in-the-Loop Content-Based Retrieval
System for {HRCT} Image Databases},
journal = {Computer Vision and Image Understanding (special issue on content-based access for image
and video libraries)},
volume = {75},
number = {1/2},
pages = {111--132},
month = {July/August},
year = {1999},
abstract = {It is now recognized in many domains that content-based
image retrieval from a database of images cannot be carried out by
using completely automated approaches. One such domain is medical
radiology for which the clinically useful information in an image
typically consists of gray level variations in highly localized regions
of the image. Currently, it is not possible to extract these regions by
automatic image segmentation techniques. To address this problem, we
have implemented a human-in-the-loop (a physician-in-the-loop, more
specifically) approach in which the human delineates the pathology
bearing regions (PBR) and a set of anatomical landmarks in the image
when the image is entered into the database. To the regions thus
marked, our approach applies low-level computer vision and image
processing algorithms to extract attributes related to the variations
in gray scale, texture, shape, etc. In addition, the system records
attributes that capture relational information such as the position of
a PBR with respect to certain anatomical landmarks. An overall
multidimensional index is assigned to each image based on these
attribute values.},
}