Intelligent Brain Tumor Lesion Classification and Identification from MRI Images Using k-NN Technique

被引：0
|
作者：
Sudharani, K. [1 ]
Sarma, T. C. [2 ]
Rasad, K. Satya [3 ]
机构：
[1] VNR Vignana Jyothi IET, Hyderabad, Telangana, India
[2] NRSA, Hyderabad, Telangana, India
[3] JNTU Kakinada, Kakinada, Andhra Prades, India
来源：
2015 INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICCICCT) | 2015年
关键词：
MRI scan; CT; k-NN; LabVIEW; Identification score and classification score; Manhattan distance metric;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The Magnetic Resonance Imaging (MRI), and Computed Tomography (CT) provides scanned images for Brain Tumor detection. Growth of abnormal cells in uncontrolled manner is tumor. The present paper proposed the classification and identification scores of brain tumor by using k-NN algorithm which is based on training of k. In this work Manhattan metric has applied and calculated the distance of the classifier. The algorithm has been implemented using the Lab View.
引用
收藏
页码：777 / 780
页数：4
相关论文
共 49 条
  • [21] Clustering and Principal Feature Selection Impact for Internet Traffic Classification Using K-NN
    Wiradinata, Trianggoro
    Suryaputra, P. Adi
    PROCEEDINGS OF SECOND INTERNATIONAL CONFERENCE ON ELECTRICAL SYSTEMS, TECHNOLOGY AND INFORMATION 2015 (ICESTI 2015), 2016, 365 : 75 - 81
  • [22] Classification of File Data Based on Confidentiality in Cloud Computing using K-NN Classifier
    Zardari, Munwar Ali
    Jung, Low Tang
    INTERNATIONAL JOURNAL OF BUSINESS ANALYTICS, 2016, 3 (02) : 61 - 78
  • [23] A 3D Obstacle Classification Method in Point Clouds Using K-NN
    Tian, Yifei
    Song, Wei
    Fong, Simon
    Zou, Shuanghui
    Lee, Euy Soo
    Jongtae, Rhee
    BDIOT 2018: PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON BIG DATA AND INTERNET OF THINGS, 2018, : 76 - 79
  • [24] Performance Comparison and Optimization of Text Document Classification using k-NN and Naive Bayes Classification Techniques
    Rasjid, Zulfany Erlisa
    Setiawan, Reina
    DISCOVERY AND INNOVATION OF COMPUTER SCIENCE TECHNOLOGY IN ARTIFICIAL INTELLIGENCE ERA, 2017, 116 : 107 - 112
  • [25] An automated brain tumor detection and classification from MRI images using machine learning techniques with IoT
    Budati, Anil Kumar
    Katta, Rajesh Babu
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2022, 24 (09) : 10570 - 10584
  • [26] An automated brain tumor detection and classification from MRI images using machine learning techniques with IoT
    Anil Kumar Budati
    Rajesh Babu Katta
    Environment, Development and Sustainability, 2022, 24 : 10570 - 10584
  • [27] Classification of Brain Lesion using K- Nearest Neighbor technique and Texture Analysis
    Abd Al-hadi, Sara
    Ali, Alyaa H.
    Naeemah, Maysaa Raba
    Mazher, Alaa Noori
    INTERNATIONAL WORKSHOP IN PHYSICS APPLICATIONS, 2019, 1178
  • [28] Gene selection for enhanced classification on microarray data using a weighted k-NN based algorithm
    Ventura-Molina, Elias
    Alarcon-Paredes, Antonio
    Aldape-Perez, Mario
    Yanez-Marquez, Cornelio
    Adolfo Alonso, Gustavo
    INTELLIGENT DATA ANALYSIS, 2019, 23 (01) : 241 - 253
  • [29] Defining the Features of EMG Signals on the Forearm of the Hand Using SVM, RF, k-NN Classification Algorithms
    Turgunov, Adilbek
    Zohirov, Kudratjon
    Ganiyev, Alisher
    Sharopova, Barno
    2020 INFORMATION COMMUNICATION TECHNOLOGIES CONFERENCE (ICTC), 2020, : 260 - 264
  • [30] Text classification using scores based k-NN approach and term to category relevance weighting scheme
    Ben Afia, Ahmed
    Amiri, Hamid
    INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING, 2016, 9 (4-5) : 283 - 290
12345