Automatic 3D Prostate Image Segmentation via Patch-based Density Constraints Clustering
Author:
Affiliation:
1. HangZhou Vocational & Technical College, HangZhou, China, China
2. Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3271553.3271571
Reference11 articles.
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3. Optimized prostate biopsy via a statistical atlas of cancer spatial distribution
4. A Supervised Patch-Based Approach for Human Brain Labeling
5. A new validation tool for assessing and improving 3D object segmentation;MICCAI,2001
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