Classification of multiple diseases based on wavelet features

被引：0
作者：
Bodasingi, Nalini [1 ]
Balaji, Narayanam [1 ]
机构：
[1] Department of ECE, JNTUK University College of Engineering, Vizianagaram, Andhra Pradesh,535003, India
来源：
Journal of Engineering | 2017年 / 2017卷 / 04期
关键词：
D O I：
10.1049/joe.2016.0171
中图分类号：
学科分类号：
摘要：
Graphical user interfaces
引用
收藏
页码：110 / 118
相关论文
共 50 条
  • [31] Features extraction and classification of rice paper images based on wavelet transform
    Xie, Weixin
    Huang, Hongbin
    Zhai, Haotian
    Liu, Weiping
    Journal of Information and Computational Science, 2015, 12 (06): : 2073 - 2079
  • [32] Wavelet Based Features for Classification of Normal, Ictal and Interictal EEG Signals
    Fathima, Thasneem
    Bedeeuzzaman, M.
    Joseph, Paul K.
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2013, 3 (02) : 301 - 305
  • [33] Classification of Liver Diseases Based on Ultrasound Image Texture Features
    Xu, Sendren Sheng-Dong
    Chang, Chun-Chao
    Su, Chien-Tien
    Pham Quoc Phu
    APPLIED SCIENCES-BASEL, 2019, 9 (02):
  • [34] Commercial Shot Classification Based on Multiple Features Combination
    Liu, Nan
    Zhao, Yao
    Zhu, Zhenfeng
    Ni, Rongrong
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2010, E93D (09): : 2651 - 2655
  • [35] Learning Multiple Complex Features Based on Classification Results
    Sato, Yoshikuni
    Kozuka, Kazuki
    Sawada, Yoshihide
    Kiyono, Masaki
    2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2014, : 3369 - 3373
  • [36] Intelligent Classification of Real Heart Diseases Based on Radial Wavelet Neural Network
    Guillermo, Juan E.
    Sanchez, Edgar N.
    Ricalde, Luis J.
    Cruz, Braulio J.
    Castillo, Alejandro
    2014 CAIRO INTERNATIONAL BIOMEDICAL ENGINEERING CONFERENCE (CIBEC), 2014, : 162 - 165
  • [37] Analysis of wavelet features for myoelectric signal classification
    Swiss Federal Inst of Technology, Zurich, Switzerland
    Proc IEEE Int Conf Electron Circuits Syst, (109-112):
  • [38] Wavelet packets as features for segmentation and classification.
    Chong, T
    Narainasamy, S
    Yaacob, MH
    Wilson, R
    ARTIFICIAL INTELLIGENCE IN REAL-TIME CONTROL 1997, 1998, : 313 - 318
  • [39] WAVELET FEATURES FOR CLASSIFICATION OF VOTE SNORE SOUNDS
    Qian, Kun
    Janott, Christoph
    Zhang, Zixing
    Heiser, Clemens
    Schuller, Bjoern
    2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, : 221 - 225
  • [40] A VISION TRANSFORMER NETWORK WITH WAVELET-BASED FEATURES FOR BREAST ULTRASOUND CLASSIFICATION
    He, Chenyang
    Diao, Yan
    Ma, Xingcong
    Yu, Shuo
    He, Xin
    Mao, Guochao
    Wei, Xinyu
    Zhang, Yu
    Zhao, Yang
    IMAGE ANALYSIS & STEREOLOGY, 2024, 43 (02) : 185 - 194
12345