Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection

被引：0
|
作者：
Lal Hussain
Tony Nguyen
Haifang Li
Adeel A. Abbasi
Kashif J. Lone
Zirun Zhao
Mahnoor Zaib
Anne Chen
Tim Q. Duong
机构：
[1] University of Azad Jammu and Kashmir,Department of Computer Science and IT, King Abdullah Campus
[2] University of Azad Jammu and Kashmir,Department of Computer Science and IT, Neelum Campus
[3] Renaissance School of Medicine at Stony Brook University,Department of Radiology
来源：
BioMedical Engineering OnLine | / 19卷
关键词：
Texture; Morphological; Machine learning; Feature extraction; Classification; COVID-19;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Multi-texture features and optimized DeepNet for COVID-19 detection using chest x-ray images
    Gopatoti, Anandbabu
    Vijayalakshmi, P.
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (22):
  • [42] Utility of the serial portable chest x-ray for the diagnosis and quantification of COVID-19 patients
    Khan, Sohail Ahmed
    Manohar, Murli
    Khan, Maria
    Hasan, Nighat
    Zaheer, Sidra
    Asad, Faisal
    Adil, Syed Omair
    JOURNAL OF TAIBAH UNIVERSITY MEDICAL SCIENCES, 2023, 18 (02): : 321 - 330
  • [43] Machine Learning and Deep Learning-Based Detection and Analysis of COVID-19 in Chest X-Ray Images
    Kumar, Kunal
    Shokeen, Harsh
    Gambhir, Shalini
    Kumar, Ashwani
    Saraswat, Amar
    INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING AND COMMUNICATIONS, ICICC 2022, VOL 3, 2023, 492 : 151 - 160
  • [44] COVID-19 chest X-ray image classification in the presence of noisy labels*
    Ying, Xiaoqing
    Liu, Hao
    Huang, Rong
    DISPLAYS, 2023, 77
  • [45] Fast COVID-19 and Pneumonia Classification Using Chest X-ray Images
    Lujan-Garcia, Juan Eduardo
    Moreno-Ibarra, Marco Antonio
    Villuendas-Rey, Yenny
    Yanez-Marquez, Cornelio
    MATHEMATICS, 2020, 8 (09)
  • [46] A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images
    Rasheed, Jawad
    Hameed, Alaa Ali
    Djeddi, Chawki
    Jamil, Akhtar
    Al-Turjman, Fadi
    INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES, 2021, 13 (01) : 103 - 117
  • [47] A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images
    Jawad Rasheed
    Alaa Ali Hameed
    Chawki Djeddi
    Akhtar Jamil
    Fadi Al-Turjman
    Interdisciplinary Sciences: Computational Life Sciences, 2021, 13 : 103 - 117
  • [48] Learning Through One Shot: A Phase by Phase Approach for COVID-19 Chest X-ray Classification
    Aradhya, V. N. Manjunath
    Mahmud, Mufti
    Chowdhury, M.
    Guru, D. S.
    Kaiser, M. Shamim
    Azad, Saiful
    2020 IEEE-EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES 2020): LEADING MODERN HEALTHCARE TECHNOLOGY ENHANCING WELLNESS, 2021, : 241 - 244
  • [49] An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images
    Wang, Dingding
    Mo, Jiaqing
    Zhou, Gang
    Xu, Liang
    Liu, Yajun
    PLOS ONE, 2020, 15 (11):
  • [50] Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
    Tahir, Anas M.
    Qiblawey, Yazan
    Khandakar, Amith
    Rahman, Tawsifur
    Khurshid, Uzair
    Musharavati, Farayi
    Islam, M. T.
    Kiranyaz, Serkan
    Al-Maadeed, Somaya
    Chowdhury, Muhammad E. H.
    COGNITIVE COMPUTATION, 2022, 14 (05) : 1752 - 1772
12345