Machine-learned contours to assist boundary tracing tasks

S. Crawford-Hines, Charles Anderson
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引用次数: 4

Abstract

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.
机器学习轮廓,以协助边界跟踪任务
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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