A Machine Vision Approach for Classification of Skin Cancer Using Hybrid Texture Features

被引：0
|
作者：
Zareen, Syeda Shamaila [1 ]
Guangmin, Sun [1 ]
Li, Yu [1 ]
Kundi, Mahwish [2 ]
Qadri, Salman [3 ]
Qadri, Syed Furqan [4 ]
Ahmad, Mubashir [5 ]
Khan, Ali Haider [6 ]
机构：
[1] Faculty of Information Technology, Beijing University of Technology, Beijing,100124, China
[2] Department of Informatics, University of Leicester, Leicester, United Kingdom
[3] Department of Computer Science, Muhammad Nawaz Shareef University of Agriculture, Multan,66000, Pakistan
[4] Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou,311121, China
[5] Faculty of Computer Science and Technology, University of Lahore, Sargodha, Pakistan
[6] Department of Computer Science, School of Systems & Technology, University of Management and Technology, Lahore, Pakistan
来源：
Computational Intelligence and Neuroscience | 2022年 / 2022卷
关键词：
Computer vision;
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] Skin Cancer Classification Using Image Processing and Machine Learning
    Javaid, Arslan
    Sadiq, Muhammad
    Akram, Faraz
    PROCEEDINGS OF 2021 INTERNATIONAL BHURBAN CONFERENCE ON APPLIED SCIENCES AND TECHNOLOGIES (IBCAST), 2021, : 439 - 444
  • [42] Thyroid Ultrasound Texture Classification Using Autoregressive Features in Conjunction With Machine Learning Approaches
    Poudel, Prabal
    Illanes, Alfredo
    Ataide, Elmer J. G.
    Esmaeili, Nazila
    Balakrishnan, Sathish
    Friebe, Michael
    IEEE ACCESS, 2019, 7 : 79354 - 79365
  • [43] Texture Image Classification Using Perceptual Texture Features and Gabor Wavelet Features
    Jian, Muwei
    Liu, Lei
    Guo, Feng
    2009 ASIA-PACIFIC CONFERENCE ON INFORMATION PROCESSING (APCIP 2009), VOL 2, PROCEEDINGS, 2009, : 55 - +
  • [44] SEED CLASSIFICATION USING MACHINE VISION
    SHATADAL, P
    JAYAS, DS
    HEHN, JL
    BULLEY, NR
    CANADIAN AGRICULTURAL ENGINEERING, 1995, 37 (03): : 163 - 167
  • [45] A probabilistic SVM approach for hyperspectral image classification using spectral and texture features
    Majdar, Reza Seifi
    Ghassemian, Hassan
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (15) : 4265 - 4284
  • [46] Texture classification of anatomical structures using a context free machine learning approach
    del Toro, Oscar Alfonso Jimenez
    Foncubierta-Rodriguez, Antonio
    Depeursinge, Adrien
    Mueller, Henning
    MEDICAL IMAGING 2015: COMPUTER-AIDED DIAGNOSIS, 2015, 9414
  • [47] A hybrid approach for the recognition of Hand Postures using Texture and Skin Saliency Map
    Vishwakarma, Dinesh Kumar
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INTELLIGENT SUSTAINABLE SYSTEMS (ICISS 2017), 2017, : 434 - 437
  • [48] Hybrid System for Detection and Classification of Plant Disease Using Qualitative Texture Features Analysis
    Anjna
    Sood, Meenakshi
    Singh, Pradeep Kumar
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE, 2020, 167 : 1056 - 1065
  • [49] Skin Texture Analysis Using Machine Learning
    Singh, Rashi
    Shah, Pankti
    Bagade, Jayashree
    2016 CONFERENCE ON ADVANCES IN SIGNAL PROCESSING (CASP), 2016, : 494 - 497
  • [50] A hybrid approach to crowd density estimation using statistical leaning and texture classification
    Li, Yin
    Zhou, Bowen
    2013 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTOELECTRONIC IMAGING AND PROCESSING TECHNOLOGY, 2013, 9045
12345