Striatum extraction using deep learning in ioflupane brain scintigraphy - Learning using Monte Carlo simulation images

被引：0
|
作者：
Tsushima, H. [1 ]
Murakawa, R. [1 ]
Kurata, S. [1 ,2 ]
Ishitsuka, R. [3 ]
Nosaka, H. [4 ]
Onoma, A. [5 ]
Koike, S. [1 ,6 ]
机构：
[1] Ibaraki Prefectural Univ Hlth Sci, Ami, Ibaraki, Japan
[2] Ibaraki Cent Hosp, Kasama, Ibaraki, Japan
[3] Chiba Univ Hosp, Chiba, Japan
[4] Nippon Med Sch, Clin Imaging Ctr Healthcare, Bunkyo Ku, Tokyo, Japan
[5] Yokohama City Univ Med, Yokohama, Kanagawa, Japan
[6] Univ Tsukuba Hosp, Tsukuba, Ibaraki, Japan
来源：
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING | 2020年 / 47卷 / SUPPL 1期
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：
TEPS-35
引用
收藏
页码：S227 / S228
页数：2
相关论文
共 50 条
  • [11] A deep learning approach for converting prompt gamma images to proton dose distributions: A Monte Carlo simulation study
    Liu, Chih-Chieh
    Huang, Hsuan-Ming
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2020, 69 : 110 - 119
  • [12] Deep learning inspired routing in ICN using Monte Carlo Tree Search algorithm
    Dutta, Nitul
    Patel, Shobhit K.
    Samusenkov, Vadim
    Vigneswaran, D.
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2021, 150 : 104 - 111
  • [13] Design of a Block Go program using deep learning and Monte Carlo tree search
    Lin, Ching-Nung
    Chen, Jr-Chang
    Yen, Shi-Jim
    Chen, Chan-San
    ICGA JOURNAL, 2018, 40 (03) : 149 - 159
  • [14] Assessing the uncertainty of deep learning soil spectral models using Monte Carlo dropout
    Padarian, J.
    Minasny, B.
    McBratney, A.B.
    Geoderma, 2022, 425
  • [15] Assessing the uncertainty of deep learning soil spectral models using Monte Carlo dropout
    Padarian, J.
    Minasny, B.
    McBratney, A. B.
    GEODERMA, 2022, 425
  • [16] Advertisement Extraction Using Deep Learning
    Madi, Boraq
    Alaasam, Reem
    Droby, Ahmad
    El-Sana, Jihad
    DOCUMENT ANALYSIS AND RECOGNITION, ICDAR 2021, PT II, 2021, 12917 : 81 - 97
  • [17] AnNoBrainer, An Automated Annotation of Mouse Brain Images using Deep Learning
    Peter, Roman
    Hrobar, Petr
    Navratil, Josef
    Vagenknecht, Martin
    Soukup, Jindrich
    Tsuji, Keiko
    Barrezueta, Nestor X.
    Stoll, Anna C.
    Gentzel, Renee C.
    Sugam, Jonathan A.
    Marcus, Jacob
    Bitton, Danny A.
    NEUROINFORMATICS, 2024, 22 (04) : 719 - 730
  • [18] Classifying tumor brain images using parallel deep learning algorithms
    Kazemi, Ahmad
    Shiri, Mohammad Ebrahim
    Sheikhahmadi, Amir
    Khodamoradi, Mohamad
    COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 148
  • [19] AGE ESTIMATION FROM BRAIN MRI IMAGES USING DEEP LEARNING
    Huang, Tzu-Wei
    Chen, Hwann-Tzong
    Fujimoto, Ryuichi
    Ito, Koichi
    Wu, Kai
    Sato, Kazunori
    Taki, Yasuyuki
    Fukuda, Hiroshi
    Aoki, Takafumi
    2017 IEEE 14TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2017), 2017, : 849 - 852
  • [20] Attenuation correction using deep learning for brain perfusion SPECT images
    Kenta Sakaguchi
    Hayato Kaida
    Shuhei Yoshida
    Kazunari Ishii
    Annals of Nuclear Medicine, 2021, 35 : 589 - 599
12345