Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment

被引：0
|
作者：
Patrick Schelb
Xianfeng Wang
Jan Philipp Radtke
Manuel Wiesenfarth
Philipp Kickingereder
Albrecht Stenzinger
Markus Hohenfellner
Heinz-Peter Schlemmer
Klaus H. Maier-Hein
David Bonekamp
机构：
[1] German Cancer Research Center (DKFZ),Division of Radiology
[2] Affiliated Hospital of Guilin Medical University,Department of Radiology
[3] University of Heidelberg Medical Center,Department of Urology
[4] German Cancer Research Center (DKFZ),Division of Biostatistics
[5] University of Heidelberg Medical Center,Department of Neuroradiology
[6] University of Heidelberg Medical Center,Institute of Pathology
[7] German Cancer Consortium (DKTK),Medical Image Computing
[8] German Cancer Research Center (DKFZ),undefined
来源：
European Radiology | 2021年 / 31卷
关键词：
Prostate cancer; Magnetic resonance imaging; Artificial intelligence; Deep learning; Decision support systems, clinical;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：302 / 313
页数：11
相关论文
共 50 条
  • [31] Prostate cancer diagnosis based on multi-parametric MRI, clinical and pathological factors using deep learning
    Sherafatmandjoo, Haniye
    Safaei, Ali A.
    Ghaderi, Foad
    Allameh, Farzad
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [32] A clinical and time savings evaluation of a deep learning automatic contouring algorithm
    Ginn, John S.
    Gay, Hiram A.
    Hilliard, Jessica
    Shah, Jainil
    Mistry, Nilesh
    Moehler, Christian
    Hugo, Geoffrey D.
    Hao, Yao
    MEDICAL DOSIMETRY, 2023, 48 (01) : 55 - 60
  • [33] Deep Learning for Automatic Image Segmentation in Stomatology and Its Clinical Application
    Luo, Dan
    Zeng, Wei
    Chen, Jinlong
    Tang, Wei
    FRONTIERS IN MEDICAL TECHNOLOGY, 2021, 3
  • [34] DEEP LEARNING CLASSIFICATION OF PROSTATE MRI SEQUENCES
    Bhatter, P.
    Bardis, M.
    Chahine, C.
    Ushinsky, A.
    Fujimoto, D.
    Grant, W. A.
    Chang, P.
    Houshyar, R.
    JOURNAL OF INVESTIGATIVE MEDICINE, 2020, 68 : A134 - A135
  • [35] A deep learning-based fully automatic and clinical-ready framework for regional myocardial segmentation and myocardial ischemia evaluation
    An, Mujun
    Li, Junhuan
    Xu, Xiaoyang
    Schoepf, U. Joseph
    Savage, Rock H.
    Cao, Kunlin
    Song, Qi
    Wang, Zeying
    Liu, Zhi
    Li, Yuwei
    Zhang, Pengfei
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2023, 61 (06) : 1507 - 1520
  • [36] A deep learning-based fully automatic and clinical-ready framework for regional myocardial segmentation and myocardial ischemia evaluation
    Mujun An
    Junhuan Li
    Xiaoyang Xu
    U. Joseph Schoepf
    Rock H. Savage
    Kunlin Cao
    Qi Song
    Zeying Wang
    Zhi Liu
    Yuwei Li
    Pengfei Zhang
    Medical & Biological Engineering & Computing, 2023, 61 : 1507 - 1520
  • [37] Deep learning-based segmentation of knee MRI for fully automatic subregional morphological assessment of cartilage tissues: Data from the Osteoarthritis Initiative
    Panfilov, Egor
    Tiulpin, Aleksei
    Nieminen, Miika T.
    Saarakkala, Simo
    Casula, Victor
    JOURNAL OF ORTHOPAEDIC RESEARCH, 2022, 40 (05) : 1113 - 1124
  • [38] Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement
    Chang, Ken
    Beers, Andrew L.
    Bai, Harrison X.
    Brown, James M.
    Ly, K. Ina
    Li, Xuejun
    Senders, Joeky T.
    Kavouridis, Vasileios K.
    Boaro, Alessandro
    Su, Chang
    Bi, Wenya Linda
    Rapalino, Otto
    Liao, Weihua
    Shen, Qin
    Zhou, Hao
    Xiao, Bo
    Wang, Yinyan
    Zhang, Paul J.
    Pinho, Marco C.
    Wen, Patrick Y.
    Batchelor, Tracy T.
    Boxerman, Jerrold L.
    Arnaout, Omar
    Rosen, Bruce R.
    Gerstner, Elizabeth R.
    Yang, Li
    Huang, Raymond Y.
    Kalpathy-Cramer, Jayashree
    NEURO-ONCOLOGY, 2019, 21 (11) : 1412 - 1422
  • [39] A fully-automatic semi-supervised deep learning model for difficult airway assessment
    Wang, Guangzhi
    Li, Chenxi
    Tang, Fudong
    Wang, Yangyang
    Wu, Su
    Zhi, Hui
    Zhang, Fan
    Wang, Meiyun
    Zhang, Jiaqiang
    HELIYON, 2023, 9 (05)
  • [40] Deep learning image reconstruction: a tremendous advance for clinical MRI but be careful
    Chung, Taylor
    Dillman, Jonathan R.
    PEDIATRIC RADIOLOGY, 2023, 53 (10) : 2157 - 2158
12345