Branch-UNet for Intraprostatic Lesion Segmentation in Multi-Parametric MRI Images for Boosting Radiotherapy of Prostate Cancer

被引:0
|
作者
Chen, Y. [1 ]
Xing, L. [1 ]
Bagshaw, H. [1 ]
Buyyounouski, M. [1 ]
Han, B. [1 ]
机构
[1] Stanford Univ, Sch Med, Stanford, CA 94305 USA
关键词
D O I
暂无
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
BReP-SNAP-
引用
收藏
页码:E411 / E411
页数:1
相关论文
共 50 条
  • [41] Multi-parametric MRI-Pathologic correlation of prostate cancer using tracked biopsies
    Xu, Sheng
    Turkbey, Baris
    Kruecker, Jochen
    Yan, Pingkun
    Locklin, Julia
    Pinto, Peter
    Choyke, Peter
    Wood, Bradford
    MEDICAL IMAGING 2010: VISUALIZATION, IMAGE-GUIDED PROCEDURES, AND MODELING, 2010, 7625
  • [42] Incorporating Oxygen-Enhanced MRI into Multi-Parametric Assessment of Human Prostate Cancer
    Zhou, Heling
    Hallac, Rami R.
    Yuan, Qing
    Ding, Yao
    Zhang, Zhongwei
    Xie, Xian-Jin
    Francis, Franto
    Roehrborn, Claus G.
    Sims, R. Douglas
    Costa, Daniel N.
    Raj, Ganesh V.
    Mason, Ralph P.
    DIAGNOSTICS, 2017, 7 (03):
  • [43] A classification approach to prostate cancer localization in 3T Multi-Parametric MRI
    Trigui, Rania
    Miteran, Johel
    Sellami, Lamia
    Walker, Paul
    Ben Hamida, Ahmed
    2016 2ND INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP), 2016, : 113 - 118
  • [44] IMPACT OF MULTI-PARAMETRIC MRI IN PROSTATE CANCER STRATIFICATION AND PROPOSAL OF A NEW RISK CLASSIFICATION
    Di Trapani, Ettore
    Catellani, Michele
    Russo, Andrea
    Cozzi, Gabriele
    Bianchi, Roberto
    Delor, Maurizio
    Conti, Andrea
    Bianco, Raffaele
    Mistretta, Francesco Alessandro
    Bottero, Danilo
    Musi, Gennaro
    De Cobelli, Ottavio
    ANTICANCER RESEARCH, 2018, 38 (04) : 2539 - 2540
  • [45] A deep learning approach for identifying focal prostate cancer from multi-parametric MRI
    RooneY, M.
    Killean, A.
    Mitchell, J.
    McLaren, D. B.
    Nailon, W. H.
    RADIOTHERAPY AND ONCOLOGY, 2019, 133 : S1052 - S1053
  • [46] The CADMUS trial - Multi-parametric ultrasound targeted biopsies compared to multi-parametric MRI targeted biopsies in the diagnosis of clinically significant prostate cancer
    Grey, Alistair
    Scott, Rebecca
    Charman, Susan
    van der Meulen, Jan
    Frinking, Peter
    Acher, Peter
    Liyanage, Sidath
    Madaan, Sanjeev
    Constantinescu, Gabriel
    Shah, Bina
    Graves, Chris Brew
    Freeman, Alex
    Jameson, Charles
    Ramachandran, Navin
    Emberton, Mark
    Arya, Manit
    Ahmed, Hashim U.
    CONTEMPORARY CLINICAL TRIALS, 2018, 66 : 86 - 92
  • [47] Logistic regression model for diagnosis of transition zone prostate cancer on multi-parametric MRI
    Nikolaos Dikaios
    Jokha Alkalbani
    Harbir Singh Sidhu
    Taiki Fujiwara
    Mohamed Abd-Alazeez
    Alex Kirkham
    Clare Allen
    Hashim Ahmed
    Mark Emberton
    Alex Freeman
    Steve Halligan
    Stuart Taylor
    David Atkinson
    Shonit Punwani
    European Radiology, 2015, 25 : 523 - 532
  • [48] Pancreatic cancer segmentation in unregistered multi-parametric MRI with adversarial learning and multi-scale supervision
    Li, Jun
    Feng, Chaolu
    Shen, Qing
    Lin, Xiaozhu
    Qian, Xiaohua
    NEUROCOMPUTING, 2022, 467 : 310 - 322
  • [49] NEGATIVE MULTI-PARAMETRIC MRI ACCURATELY PREDICTS THE ABSENCE OF CLINICALLY SIGNIFICANT PROSTATE CANCER
    Hart, Spencer
    Doshi, Chirag
    Tai, Thomson
    Dornbier, Ryan
    Joyce, Cara
    Gorbonos, Alex
    Woods, Michael
    Quek, Marcus
    Flanigan, Robert
    Gupta, Gopal
    JOURNAL OF UROLOGY, 2019, 201 (04): : E514 - E514
  • [50] AUTOMATIC PROSTATE CANCER DETECTION ON MULTI-PARAMETRIC MRI WITH HIERARCHICAL WEAKLY SUPERVISED LEARNING
    Yang, Haibo
    Wu, GuangYu
    Shen, Dinggang
    Liao, Shu
    2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2021, : 316 - 319