Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement

He, Baochun; Xiao, Deqiang; Hu, Qingmao; Jia, Fucang

doi:10.1109/ACCESS.2017.2781278

Title: Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement

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Authors:

He, Baochun; Xiao, Deqiang; Hu, Qingmao;

Publication Date:: Mon Jan 01 00:00:00 EST 2018

Sponsoring Org.:: USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research

OSTI Identifier:: 1825165

Grant/Contract Number:: 2016YFC0106500/2; SQ2017ZY040217/03; NSFC-Guangdong Union10.13039/501100001809; U1401254

Resource Type:: Published Article

Journal Name:: IEEE Access

Additional Journal Information:: Journal Name: IEEE Access Journal Volume: 6; Journal ID: ISSN 2169-3536

Publisher:: Institute of Electrical and Electronics Engineers

Country of Publication:: United States

Language:: English

Citation Formats


                    He, Baochun, Xiao, Deqiang, Hu, Qingmao, and Jia, Fucang. Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement.  United States: N. p., 2018. 
Web.  doi:10.1109/ACCESS.2017.2781278.

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                    He, Baochun, Xiao, Deqiang, Hu, Qingmao, & Jia, Fucang. Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement.  United States.  https://doi.org/10.1109/ACCESS.2017.2781278

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                    He, Baochun, Xiao, Deqiang, Hu, Qingmao, and Jia, Fucang. Mon .  
"Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement".  United States.  https://doi.org/10.1109/ACCESS.2017.2781278.

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@article{osti_1825165,

  title        = {Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement},

  author       = {He, Baochun and Xiao, Deqiang and Hu, Qingmao and Jia, Fucang},

  abstractNote = {},

  doi          = {10.1109/ACCESS.2017.2781278},

  journal      = {IEEE Access},

  number       = ,

  volume       = 6,

  place        = {United States},

  year         = {Mon Jan 01 00:00:00 EST 2018},

  month        = {Mon Jan 01 00:00:00 EST 2018}

}

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