@inproceedings{280b35dbec1742cfb52d3d1971152ef2,
title = "Problems and limitations of knowledge-based 3D medical image analysis",
abstract = "It is noted that medical images are often characterized by low-contrast regions which utilize a narrow range of gray levels. Various methods including the gray level remapping can be used for improving the contrast in a general sense. But even then it is difficult to obtain well-defined and isolated segmented regions of interest from these images. This is one of the major problems in automatic analysis of medical images. Other problems including the improper registration, analysis, and visualization of small low-contrast regions are discussed here in the context of a knowledge-based analysis system which is being developed for analyzing the anatomical images of the human chest cavity. The issue of user interaction is raised to address these problems for efficient and better analysis.",
author = "Dhawan, {Atam P.}",
year = "1990",
language = "English (US)",
isbn = "0879425598",
series = "Proceedings of the Annual Conference on Engineering in Medicine and Biology",
publisher = "Publ by IEEE",
number = "pt 3",
pages = "1304--1305",
booktitle = "Biomedical Engineering Perspectives",
edition = "pt 3",
note = "Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 01-11-1990 Through 04-11-1990",
}