Brain MRI Segmentation for Tumor Detection using Grammatical Swarm Based Clustering Algorithm

被引：0
|
作者：
Si, Tapas [1 ]
De, Arunava [2 ]
Bhattacharjee, Anup Kumar [3 ]
机构：
[1] BU Inst Engn, Dept CSE, Bankura, WB, India
[2] Dr BC Roy Engn Coll, Dept IT, Durgapur, W Bengal, India
[3] Natl Inst Technol, Dept ECE, Durgapur, W Bengal, India
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2014) | 2014年
关键词：
Magnetic Resonance Image; Brain MRI; Discrete Wavelet Transform; soft thresholding; Grammatical Swarm; Particle Swarm Optimizer; clustering; segmentation; tumor; IMAGE SEGMENTATION;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents segmentation of brain's Magnetic Resonance image for tumor detection using Grammatical Swarm based clustering algorithm. Grammatical Swarm is a variant of Grammatical Evolution which can generate computer programs. First, MR images of brain are de-noised using Discrete Wavelet Transform based soft-thresholding technique. Grammatical Swarm based clustering algorithm is developed to segment the de-noised images to separate the mass lesion or tumor from the non-diseased objects in the image.
引用
收藏
页码：1196 / 1201
页数：6
相关论文
共 50 条
  • [1] Brain MRI segmentation for tumor detection via entropy maximization using Grammatical Swarm
    Si, Tapas
    De, Arunava
    Bhattacharjee, Anup Kumar
    [J]. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2015, 13 (05)
  • [2] Multimodal MRI Brain Tumor Image Segmentation Using Sparse Subspace Clustering Algorithm
    Liu, Li
    Kuang, Liang
    Ji, Yunfeng
    [J]. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2020, 2020 (2020)
  • [3] An Efficient Brain Tumor Detection and Segmentation in MRI Using Parameter-Free Clustering
    Shivhare, Shiv Naresh
    Sharma, Shikhar
    Singh, Navjot
    [J]. MACHINE INTELLIGENCE AND SIGNAL ANALYSIS, 2019, 748 : 485 - 495
  • [4] Brain MRI Segmentation for Lesion Detection Using Clustering with Fire-Fly Algorithm
    Manna, Pramita
    Si, Tapas
    [J]. ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY COMPUTATIONS IN ENGINEERING SYSTEMS, ICAIECES 2015, 2016, 394 : 1347 - 1355
  • [5] Brain Tumor Detection using Segmentation based Object Labeling Algorithm
    Halder, Amitava
    Giri, Chandan
    Halder, Amiya
    [J]. 2014 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATION AND INSTRUMENTATION (ICECI), 2014,
  • [6] BRAIN TUMOR DETECTION BASED ON ASYMMETRY AND K-MEANS CLUSTERING MRI IMAGE SEGMENTATION
    Baji, Faiq
    Mocanu, Mihai L.
    Liliana, Popa Didi
    [J]. JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2018, 13 (12) : 4145 - 4159
  • [7] Automated Brain Tumor Segmentation and Detection in MRI using Enhanced Darwinian Particle Swarm Optimization(EDPSO)
    Vijay, Vasupradha
    Kavitha, A. R.
    Rebecca, S. Roselene
    [J]. 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, COMMUNICATION & CONVERGENCE, ICCC 2016, 2016, 92 : 475 - 480
  • [8] Deep residual network based brain tumor segmentation and detection with MRI using improved invasive bat algorithm
    Gupta, Vimal
    Bibhu, Vimal
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (08) : 12445 - 12467
  • [9] Deep residual network based brain tumor segmentation and detection with MRI using improved invasive bat algorithm
    Vimal Gupta
    Vimal Bibhu
    [J]. Multimedia Tools and Applications, 2023, 82 : 12445 - 12467
  • [10] MRI Brain Tumor Segmentation System Based on Hybrid Clustering Techniques
    Maksoud, Eman A. Abdel
    Elmogy, Mohammed
    Al-Awadi, Rashid Mokhtar
    [J]. ADVANCED MACHINE LEARNING TECHNOLOGIES AND APPLICATIONS, AMLTA 2014, 2014, 488 : 401 - 412
12345