Fully automatic prostate segmentation from transrectal ultrasound images based on radial bas-relief initialization and slice-based propagation-Reference-Cited by-同舟云学术

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Fully automatic prostate segmentation from transrectal ultrasound images based on radial bas-relief initialization and slice-based propagation

Published:2016-07 Issue: Volume:74 Page:74-90
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Yu Yanyan,Chen Yimin,Chiu Bernard

Funder

City University of Hong Kong Strategic Research

Research Grant Council of the HKSAR, China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference45 articles.

1. American Cancer Society, Cancer Facts and Figures 2016, 2016.

2. Department of Health, Public Health Information and Statistics of Hong Kong, 2013.

3. Edge-guided boundary delineation in prostate ultrasound images;Pathak;IEEE Trans. Med. Imaging,2000

4. Prostate boundary detection from ultrasonographic images;Shao;J. Ultrasound Med.,2003

5. Basic and Advanced Techniques in Prostate Brachytherapy;Dicker,2005

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1. H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine Learning;International Journal of Computer Vision;2022-05-25

2. Segmentation of prostate ultrasound images: the state of the art and the future directions of segmentation algorithms;Artificial Intelligence Review;2022-04-13

3. Ultrasound Image Segmentation Method for Thyroid Nodules Using ASPP Fusion Features;IEEE Access;2020

4. Histotripsy: The Next Generation of High‐Intensity Focused Ultrasound for Focal Prostate Cancer Therapy;Journal of Ultrasound in Medicine;2019-12-12

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