Automatic multi-needle localization in ultrasound images using large margin mask RCNN for ultrasound-guided prostate brachytherapy-Reference-Cited by-同舟云学术

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Automatic multi-needle localization in ultrasound images using large margin mask RCNN for ultrasound-guided prostate brachytherapy

Published:2020-10-09 Issue:20 Volume:65 Page:205003
ISSN:1361-6560
Container-title:Physics in Medicine & Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Zhang Yupei,Tian Zhen,Lei Yang,Wang Tonghe,Patel Pretesh,Jani Ashesh B,Curran Walter J,Liu Tian,Yang Xiaofeng^ORCID

Funder

philanthropic award provided by the Winship Cancer Institute of Emory University

Department of Defense (DoD) Prostate Cancer Research Program

National Cancer Institute

Dunwoody Golf Club Prostate Cancer Research Award

Publisher

IOP Publishing

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

https://iopscience.iop.org/article/10.1088/1361-6560/aba410/pdf

Reference42 articles.

1. Detection of an invisible needle in ultrasound using a probabilistic SVM and time-domain features

2. High dose rate prostate brachytherapy: an overview of the rationale, experience and emerging applications in the treatment of prostate cancer

3. Needle detection in curvilinear ultrasound images based on the reflection pattern of circular ultrasound waves

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