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
  • [1] RETRACTED: A Machine Vision Approach for Classification of Skin Cancer Using Hybrid Texture Features (Retracted Article)
    Zareen, Syeda Shamaila
    Guangmin, Sun
    Li, Yu
    Kundi, Mahwish
    Qadri, Salman
    Qadri, Syed Furqan
    Ahmad, Mubashir
    Khan, Ali Haider
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [2] Classification of Dermoscopic Skin Cancer Images Using Color and Hybrid Texture Features
    Almansour, Ebtihal
    Jaffar, M. Arfan
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2016, 16 (04): : 135 - 139
  • [3] Machine vision system for classification of bulk raisins using texture features
    Khojastehnazhand, Mostafa
    Ramezani, Hamed
    JOURNAL OF FOOD ENGINEERING, 2020, 271
  • [4] Machine vision system for classification of bulk raisins using texture features
    Khojastehnazhand, Mostafa
    Ramezani, Hamed
    Journal of Food Engineering, 2020, 271
  • [5] An artificial neural network based detection and classification of melanoma skin cancer using hybrid texture features
    Tumpa P.P.
    Kabir M.A.
    Sensors International, 2021, 2
  • [6] A machine vision approach for classification the rice varieties using statistical features
    Qadri, Salman
    Aslam, Tanveer
    Nawaz, Syed Ali
    Saher, Najia
    Razzaq, Abdul
    Ur Rehman, Muzammil
    Ahmad, Nazir
    Shahzad, Faisal
    Furqan Qadri, Syed
    INTERNATIONAL JOURNAL OF FOOD PROPERTIES, 2021, 24 (01) : 1615 - 1630
  • [7] Machine vision approach for classification of citrus leaves using fused features
    Qadri, Salman
    Furqan Qadri, Syed
    Husnain, Mujtaba
    Saad Missen, Malik Muhammad
    Khan, Dost Muhammad
    Muzammil-Ul-Rehman
    Razzaq, Abdul
    Ullah, Saleem
    INTERNATIONAL JOURNAL OF FOOD PROPERTIES, 2019, 22 (01) : 2071 - 2088
  • [8] Comparison of Machine Learning Algorithms for Skin Disease Classification Using Color and Texture Features
    Hegde, Parameshwar R.
    Shenoy, Manjunath M.
    Shekar, B. H.
    2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2018, : 1825 - 1828
  • [9] Machine learning approach for the classification of corn seed using hybrid features
    Ali, Aqib
    Qadri, Salman
    Mashwani, Wali Khan
    Belhaouari, Samir Brahim
    Naeem, Samreen
    Rafique, Sidra
    Jamal, Farrukh
    Chesneau, Christophe
    Anam, Sania
    INTERNATIONAL JOURNAL OF FOOD PROPERTIES, 2020, 23 (01) : 1110 - 1124
  • [10] Ensemble Machine Learning Approach for Android Malware Classification Using Hybrid Features
    Pektas, Abdurrahman
    Acarman, Tankut
    PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2017, 2018, 578 : 191 - 200
12345