Deep Neural Networks for Radiographic Risk Stratification of Gliomas

被引：0
|
作者：
Gao, S. [1 ]
Kann, B. H. [1 ]
Bindra, R. S. [2 ]
Contessa, J. N. [1 ]
Yu, J. B. [1 ]
Aneja, S. [1 ]
机构：
[1] Yale Sch Med, Dept Therapeut Radiol, New Haven, CT USA
[2] Yale Univ, New Haven, CT USA
来源：
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2019年 / 105卷 / 01期
关键词：
D O I：
10.1016/j.ijrobp.2019.06.092
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
1012
引用
收藏
页码：S121 / S121
页数：1
相关论文
共 50 条
  • [31] On the regularized risk of distributionally robust learning over deep neural networks
    Trillos, Camilo Andres Garcia
    Trillos, Nicolas Garcia
    RESEARCH IN THE MATHEMATICAL SCIENCES, 2022, 9 (03)
  • [32] Prediction of Blood Risk Score in Diabetes Using Deep Neural Networks
    Toledo-Marin, J. Quetzalcoatl
    Ali, Taqdir
    van Rooij, Tibor
    Gorges, Matthias
    Wasserman, Wyeth W.
    JOURNAL OF CLINICAL MEDICINE, 2023, 12 (04)
  • [33] Optimizing Stroke Risk Prediction Using XGBoost and Deep Neural Networks
    Agrawal, Renuka
    Ahire, Aaditya
    Mehta, Dimple
    Hemnani, Preeti
    Hamdare, Safa
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (11) : 134 - 143
  • [34] Long-Term Hail Risk Assessment with Deep Neural Networks
    Mozikov, Mikhail
    Lukyanenko, Ivan
    Makarov, Ilya
    Bulkin, Alexander
    Maximov, Yury
    ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2023, PT I, 2023, 14134 : 288 - 301
  • [35] COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks
    Shi, Wenqi
    Tong, Li
    Zhu, Yuanda
    Wang, May D.
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 25 (07) : 2376 - 2387
  • [36] Artificial Neural Networks and risk stratification models in Emergency Departments: The policy maker's perspective
    Casagranda, Ivo
    Costantino, Giorgio
    Falavigna, Greta
    Furlan, Raffaello
    Ippoliti, Roberto
    HEALTH POLICY, 2016, 120 (01) : 111 - 119
  • [37] A comparison of Cox Regression and neural networks for risk stratification in cases of acute lymphoblastic leukaemia in children
    Groves, DJ
    Smye, SW
    Kinsey, SE
    Richards, SM
    Chessells, JM
    Eden, OB
    Bailey, CC
    NEURAL COMPUTING & APPLICATIONS, 1999, 8 (03): : 257 - 264
  • [38] A Comparison of Cox Regression and Neural Networks for Risk Stratification in Cases of Acute Lymphoblastic Leukaemia in Children
    D. J. Groves
    S. W. Smye
    S. E. Kinsey
    S. M. Richards
    J. M. Chessells
    O. B. Eden
    C. C. Bailey
    Neural Computing & Applications, 1999, 8 : 257 - 264
  • [39] Artificial neural networks versus bayesian classifiers for risk stratification following uncomplicated myocardial infarction
    Bigi, R
    Desideri, A
    Chiarotto, FA
    Toffolo, GM
    Gregori, D
    Cortigiani, L
    Coscarelli, S
    Celegon, L
    EUROPEAN HEART JOURNAL, 2002, 23 : 117 - 117
  • [40] A comparison of Cox regression and neural networks for risk stratification in cases of acute lymphoblastic leukaemia in children
    Kinsey, SE
    Groves, DJ
    Smye, SW
    Richards, SM
    Chessells, JM
    Eden, OB
    Bailey, CC
    BRITISH JOURNAL OF HAEMATOLOGY, 1999, 104 (01) : 198 - 200
12345