Random Walk Based Segmentation for the Prostate on 3D Transrectal Ultrasound Images

This paper proposes a new semi-automatic segmentation method for the prostate on 3D transrectal ultrasound images (TRUS) by combining the region and classification information. We use a random walk algorithm to express the region information efficiently and flexibly because it can avoid segmentation...

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Détails bibliographiques
Publié dans:Proc SPIE Int Soc Opt Eng
Auteurs principaux: Ma, Ling, Guo, Rongrong, Tian, Zhiqiang, Venkataraman, Rajesh, Sarkar, Saradwata, Liu, Xiabi, Nieh, Peter T., Master, Viraj V., Schuster, David M., Fei, Baowei
Format: Artigo
Langue:Inglês
Publié: 2016
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Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5029423/
https://ncbi.nlm.nih.gov/pubmed/27660383
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2216526
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