An Adaptive MR Image Segmentation Technique Based on a Statistical Model by Estimating Window Size(Regular Section)

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概要

• 論文の詳細を見る

• A novel adaptive technique based on a statistical model by estimating window size for unsupervised segmentation of a set of MR images is presented. The window size estimation is achieved in the image using a MDL for mixture estimation and segmentation, and allows the technique to well reflect local characteristics of the image.

• 社団法人電子情報通信学会の論文
• 2002-11-01

著者

• Kim Tae-woo

  The Medical Application Team Samsung Advanced Institute Of Technology

関連論文

• An Adaptive MR Image Segmentation Technique Based on a Statistical Model by Estimating Window Size(Regular Section)

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