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
  • [21] Signature verification approach using fusion of hybrid texture features
    Bhunia, Ankan Kumar
    Alaei, Alireza
    Roy, Partha Pratim
    NEURAL COMPUTING & APPLICATIONS, 2019, 31 (12): : 8737 - 8748
  • [22] Signature verification approach using fusion of hybrid texture features
    Ankan Kumar Bhunia
    Alireza Alaei
    Partha Pratim Roy
    Neural Computing and Applications, 2019, 31 : 8737 - 8748
  • [23] Classification of glaucoma using hybrid features with machine learning approaches
    Thakur, Niharika
    Juneja, Mamta
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2020, 62
  • [24] Skin cancer detection and classification using machine learning
    Monika, M. Krishna
    Vignesh, N. Arun
    Kumari, Ch Usha
    Kumar, M. N. V. S. S.
    Lydia, E. Laxmi
    MATERIALS TODAY-PROCEEDINGS, 2020, 33 : 4266 - 4270
  • [25] Multi-Class Skin Cancer Detection and Classification Using Hybrid Features Extraction Techniques
    Masood, Mahnoor
    Iqbal, Khalid
    Khan, Qasim
    Alowayr, Ali Saeed
    Awan, Khalid Mahmood
    Saleem, Muhammad Qaiser
    Habib, Elturabi Osman Ahmed
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2020, 10 (10) : 2466 - 2472
  • [26] Cashew Classification Machine vision approach
    Deobhanj, Sanghamitra
    Chandra, G. Sharath
    Srinivasan, R.
    Lahkar, Jiumoni
    Shrivastava, Neeta
    Nair, Ashwathy
    Kumar, V. Anoop
    Mullasseri, Sileesh
    Gowdhaman, P.
    Balaji, S.
    Ramanan, S. Suresh
    CURRENT SCIENCE, 2018, 114 (07): : 1391 - 1391
  • [27] Automatic Malignant and Benign Skin Cancer Classification Using a Hybrid Deep Learning Approach
    Bassel, Atheer
    Abdulkareem, Amjed Basil
    Alyasseri, Zaid Abdi Alkareem
    Sani, Nor Samsiah
    Mohammed, Husam Jasim
    DIAGNOSTICS, 2022, 12 (10)
  • [28] Performance Enhancement of Skin Cancer Classification Using Computer Vision
    Magdy, Ahmed
    Hussein, Hadeer
    Abdel-Kader, Rehab F.
    Abd El Salam, Khaled
    IEEE ACCESS, 2023, 11 : 72120 - 72133
  • [29] Machine vision for the maturity classification of oil palm fresh fruit bunches based on color and texture features
    Septiarini, Anindita
    Sunyoto, Andi
    Hamdani, Hamdani
    Kasim, Anita Ahmad
    Utaminingrum, Fitri
    Hatta, Heliza Rahmania
    SCIENTIA HORTICULTURAE, 2021, 286
  • [30] A hybrid segmentation approach for detection and classification of skin cancer.
    Victor, Akila
    Ghalib, Muhammad Rukunuddin
    BIOMEDICAL RESEARCH-INDIA, 2017, 28 (16): : 6947 - 6954
12345