Automated segmentation of the human placenta and uterus with MR imaging using artificial intelligence (AI)

被引：2
|
作者：
Twickler, Diane M. [1 ]
Do, Quyen N. [1 ]
Xi, Yin [2 ]
Shahedi, Maysam [3 ]
Dormer, James [3 ]
Devi, Anusha T. T. [3 ]
Lewis, Matthew A. [1 ]
Spong, Catherine Y. [1 ]
Dashe, Jodi S. [1 ]
Madhuranthakam, Ananth [2 ]
Fei, Baowei [3 ]
机构：
[1] Univ Texas Southwestern Med Ctr Dallas, Dallas, TX 75390 USA
[2] Univ Texas Southwestern, Dallas, TX USA
[3] Univ Texas Dallas, Dallas, TX USA
来源：
AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY | 2020年 / 222卷 / 01期
关键词：
D O I：
10.1016/j.ajog.2019.11.244
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
228
引用
收藏
页码：S158 / S159
页数：2
相关论文
共 50 条
  • [1] Segmentation of uterus and placenta in MR images using a fully convolutional neural network
    Shahedi, Maysam
    Dormer, James D.
    Devi, Anusha T. T.
    Do, Quyen N.
    Xi, Yin
    Lewis, Matthew A.
    Madhuranthakam, Ananth J.
    Twickler, Diane M.
    Fei, Baowei
    [J]. MEDICAL IMAGING 2020: COMPUTER-AIDED DIAGNOSIS, 2020, 11314
  • [2] Automated Data Harmonization (ADH) using Artificial Intelligence (AI)
    Dutta, Anjan
    Deb, Tomal
    Pathak, Shrikant
    [J]. OPSEARCH, 2021, 58 (02) : 257 - 275
  • [3] Automated Data Harmonization (ADH) using Artificial Intelligence (AI)
    Anjan Dutta
    Tomal Deb
    Shrikant Pathak
    [J]. OPSEARCH, 2021, 58 : 257 - 275
  • [4] Artificial intelligence (AI) in diagnostic imaging
    Braunschweig, Rainer
    Kildal, Daniela
    Janka, Rolf
    [J]. ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2024, 196 (07): : 664 - 670
  • [5] Pilot Study on the automated Evaluation of Polysomnography using Artificial Intelligence (AI)
    Hoheisel, A.
    Mau, M.
    Strobel, W.
    Koehler, T.
    Jahn, K.
    Herrmann, M.
    Darie, A.
    Ambros, M.
    Wieber, M.
    Rupprechter, S.
    Tamm, M.
    Stolz, D.
    [J]. PNEUMOLOGIE, 2024, 78 : S94 - S95
  • [6] Deep learning-based segmentation of the placenta and uterus on MR images
    Shahedi, Maysam
    Spong, Catherine Y.
    Dormer, James D.
    Do, Quyen N.
    Xi, Yin
    Lewis, Matthew A.
    Herrera, Christina
    Madhuranthakam, Ananth J.
    Twickler, Diane M.
    Fei, Baowei
    [J]. JOURNAL OF MEDICAL IMAGING, 2021, 8 (05)
  • [7] Artificial Intelligence for Automated Marine Growth Segmentation
    Carvalho, Joao
    Leite, Pedro Nuno
    Mina, Joao
    Pinho, Lourenco
    Goncalves, Eduardo P.
    Pinto, Andry Maykol
    [J]. ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE, VOL 2, 2024, 978 : 150 - 161
  • [8] An Automated Detection and Segmentation of Tumor in Brain MRI using Artificial Intelligence
    Bhanumurthy, M. Y.
    Anne, Koteswararao
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC), 2014, : 391 - 396
  • [9] Segmentation of knee cartilages in MR images with artificial intelligence
    Szoldan Peter
    Egyed Zsofia
    Szabo Endre
    Somogyi Janos
    Hangody Gyorgy
    Hangody Laszlo
    [J]. ORVOSI HETILAP, 2021, 162 (09) : 352 - 360
  • [10] The Evidence for Using Artificial Intelligence to Enhance Prostate Cancer MR Imaging
    Canellas, Rodrigo
    Kohli, Marc D.
    Westphalen, Antonio C.
    [J]. CURRENT ONCOLOGY REPORTS, 2023, 25 (04) : 243 - 250
12345