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H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine Learning.
Tao Peng
Caiyin Tang
Yiyun Wu
Jing Cai
Published in:
Int. J. Comput. Vis. (2022)
Keyphrases
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prostate segmentation
hybrid method
machine learning
image data
texture information
image features
principal components
automated segmentation
transrectal ultrasound
feature selection
decision trees
input image
principal curves