Machine Learning Algorithm for Prostate Segmentation in Transrectal Ultrasound
Anurag Garikipati, Rajesh Venkataraman
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Ultrasound segmentation of the prostate is a key step for elastic registration (fusion) of magnetic resonance images (MRI) and ultrasound (US) images used for 3D targeted biopsies. To provide more robust segmentation, we propose a machine learning model for automatic segmentation in transrectal US images.