A hybrid edge-based segmentation approach for ultrasound medical images
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- 作者：Deep Guptaa ; er.deepgupta@gmail.com" class="auth_mail" title="E-mail the corresponding author ; R.S. Anandb
- 关键词：Ultrasound ; Distance regularized level set ; Edge based active contour ; Kernel fuzzy C-means ; Segmentation
- 刊名：Biomedical Signal Processing and Control
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：31
- 期：Complete
- 页码：116-126
- 全文大小：5495 K
文摘
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This paper presents a hybrid edge-based segmentation method for ultrasound medical images.
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The proposed method is based on the kernel fuzzy clustering and active contour model using distance regularized level set function.
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The proposed method helps to remove the need of manual intervention and also increase the averaged computational time.