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
  • [1] Optimal Deep Learning Enabled Prostate Cancer Detection Using Microarray Gene Expression
    Alshareef, Abdulrhman M.
    Alsini, Raed
    Alsieni, Mohammed
    Alrowais, Fadwa
    Marzouk, Radwa
    Abunadi, Ibrahim
    Nemri, Nadhem
    JOURNAL OF HEALTHCARE ENGINEERING, 2022, 2022
  • [2] Cancer Classification Based on Microarray Gene Expression Data Using Deep Learning
    Guillen, Pablo
    Ebalunode, Jerry
    2016 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE & COMPUTATIONAL INTELLIGENCE (CSCI), 2016, : 1403 - 1405
  • [3] Deep learning techniques for cancer classification using microarray gene expression data
    Gupta, Surbhi
    Gupta, Manoj K.
    Shabaz, Mohammad
    Sharma, Ashutosh
    FRONTIERS IN PHYSIOLOGY, 2022, 13
  • [4] Deep Learning Enabled Microarray Gene Expression Classification for Data Science Applications
    Malibari, Areej A.
    Alshehri, Reem M.
    Al-Wesabi, Fahd N.
    Negm, Noha
    Al Duhayyim, Mesfer
    Hilal, Anwer Mustafa
    Yaseen, Ishfaq
    Motwakel, Abdelwahed
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 73 (02): : 4277 - 4290
  • [5] Hybrid Optimization Enabled Deep-Learning for Prostate Cancer Detection
    Reddy, Siva Kumar
    Kathirvelu, Kalaivani
    SENSING AND IMAGING, 2024, 25 (01):
  • [6] Optimized gene selection and classification of cancer from microarray gene expression data using deep learning
    Shah, Shamveel Hussain
    Iqbal, Muhammad Javed
    Ahmad, Iftikhar
    Khan, Suleman
    Rodrigues, Joel J. P. C.
    NEURAL COMPUTING & APPLICATIONS, 2020,
  • [7] Feature selection with ensemble learning for prostate cancer diagnosis from microarray gene expression
    Gumaei, Abdu
    Sammouda, Rachid
    Al-Rakhami, Mabrook
    AlSalman, Hussain
    El-Zaart, Ali
    HEALTH INFORMATICS JOURNAL, 2021, 27 (01)
  • [8] Equilibrium Optimization Algorithm with Deep Learning Enabled Prostate Cancer Detection on MRI Images
    Yang, Eunmok
    Shankar, K.
    Kumar, Sachin
    Seo, Changho
    Moon, Inkyu
    Cimpean, Anca-Maria
    BIOMEDICINES, 2023, 11 (12)
  • [9] Simultaneously detection of genomic and expression alterations in prostate cancer using cDNA microarray
    Jiang, Mei
    Li, Ming
    Fu, Xuping
    Huang, Yan
    Qian, Hui
    Sun, Ruping
    Mao, Yumin
    Xie, Yi
    Li, Yao
    PROSTATE, 2008, 68 (14): : 1496 - 1509
  • [10] Prostate Cancer Detection Using Deep Learning and Traditional Techniques
    Iqbal, Saqib
    Siddiqui, Ghazanfar Farooq
    Rehman, Amjad
    Hussain, Lal
    Saba, Tanzila
    Tariq, Usman
    Abbasi, Adeel Ahmed
    IEEE ACCESS, 2021, 9 : 27085 - 27100
12345