机器学习轮廓，以协助边界跟踪任务

1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165) Pub Date : 1998-04-05 DOI:10.1109/IAI.1998.666890

S. Crawford-Hines, Charles Anderson

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引用次数: 4

摘要

作者的重点是协助在医学图像的初始分割交互式。在接近实时的情况下，从跟踪的初始像素集，作者的系统学习被跟踪的轮廓的特征，并在跟踪前投影。本文概述了他们的方法，提出了有希望的结果，并概述了他们的研究方向。

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Machine-learned contours to assist boundary tracing tasks

The authors' focus is to assist interactively in the initial segmentation of medical imagery. In near-real-time, from an initial set of pixels traced, the authors' system learns the characteristics of a contour being traced and projects ahead the trace. This paper provides an overview of their approach, presents promising results, and outlines their research directions.

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来源期刊

1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)

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