Optimal Deep Learning Enabled Prostate Cancer Detection Using Microarray Gene Expression

被引：0
|
作者：
Alshareef, Abdulrhman M. [1 ]
Alsini, Raed [1 ]
Alsieni, Mohammed [2 ]
Alrowais, Fadwa [3 ]
Marzouk, Radwa [4 ]
Abunadi, Ibrahim [5 ]
Nemri, Nadhem [6 ]
机构：
[1] Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
[2] Department of Pharmacology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
[3] Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P. O. Box 84428, Riyadh,11671, Saudi Arabia
[4] Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh,11671, Saudi Arabia
[5] Department of Information Systems, College of Computer and Information Sciences, Prince Sultan University, P.O. Box No. 66833, Rafha Street, Riyadh,11586, Saudi Arabia
[6] Department of Information Systems, College of Science and Arts at Muhayel, King Khalid University, Mahayel Aseer, Saudi Arabia
来源：
Journal of Healthcare Engineering | 2022年 / 2022卷
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Deep neural networks
引用
收藏
相关论文
共 50 条
  • [21] A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data
    Tabares-Soto, Reinel
    Orozco-Arias, Simon
    Romero-Cano, Victor
    Segovia Bucheli, Vanesa
    Luis Rodriguez-Sotelo, Jose
    Felipe Jimenez-Varon, Cristian
    PEERJ COMPUTER SCIENCE, 2020, PeerJ Inc. (2020)
  • [22] Microarray analysis of differential gene expression in androgen independent prostate cancer using a metastatic human prostate cancer cell line model
    Balaji, KC
    Rao, PS
    Smith, DJ
    Louis, S
    Smith, LM
    Sherman, S
    Bacich, D
    O'Keefe, D
    UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS, 2004, 22 (04) : 313 - 320
  • [23] Deep Learning-Based Prediction of Alzheimer's Disease Using Microarray Gene Expression Data
    Abdelwahab, Mahmoud M.
    Al-Karawi, Khamis A.
    Semary, Hatem E.
    Gulyaeva, Natalia V.
    BIOMEDICINES, 2023, 11 (12)
  • [24] Optimal Hybrid Deep Learning Enabled Attack Detection and Classification in IoT Environment
    Alruwaili, Fahad F.
    CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 75 (01): : 99 - 115
  • [25] Integrating Chicken Swarm Optimization with Deep Learning for Microarray Gene Expression Classification
    Gowri, B. Shyamala
    Kumar, K. P. Sanal
    Nair, S. Anu H.
    Kamalakkannan, S.
    2024 7TH INTERNATIONAL CONFERENCE ON DEVICES, CIRCUITS AND SYSTEMS, ICDCS 2024, 2024, : 229 - 233
  • [26] A framework for performance enhancement of classifiers in detection of prostate cancer from microarray gene
    Mani, Kalaiyarasi
    Rajaguru, Harikumar
    HELIYON, 2024, 10 (09)
  • [27] Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep Learning
    Moroianu, Stefania L.
    Bhattacharya, Indrani
    Seetharaman, Arun
    Shao, Wei
    Kunder, Christian A.
    Sharma, Avishkar
    Ghanouni, Pejman
    Fan, Richard E.
    Sonn, Geoffrey A.
    Rusu, Mirabela
    CANCERS, 2022, 14 (12)
  • [28] Deep contrastive learning for predicting cancer prognosis using gene expression values
    Sun, Anchen
    Franzmann, Elizabeth J.
    Chen, Zhibin
    Cai, Xiaodong
    BRIEFINGS IN BIOINFORMATICS, 2024, 25 (06)
  • [29] Prediction of lung cancer using gene expression and deep learning with KL divergence gene selection
    Liu, Suli
    Yao, Wu
    BMC BIOINFORMATICS, 2022, 23 (01)
  • [30] Prediction of lung cancer using gene expression and deep learning with KL divergence gene selection
    Suli Liu
    Wu Yao
    BMC Bioinformatics, 23
12345