Cover Image
QR Code

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.

In medical image processing, Brain tumor segmentation plays an important role. Early detection of these tumors is highly required to give Treatment of patients. The patient's life chances are improved by the early detection of it. The process of diagnosing the brain tumoursby the physicians is norma...

Full description

Published in:Journal of Medical Systems Vol. 43; no. 9
Main Authors: Thaha, M. Mohammed, Kumar, K. Pradeep Mohan, Murugan, B. S., Dhanasekeran, S., Vijayakarthick, P., Selvi, A. Senthil
Format: algorithm computer program equations & formulas research tables/charts Journal Article
Published: Springer Nature Sep2019
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=138200103&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 138200103
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01485598
        4N0
      jtl: Journal of Medical Systems
      issn: 01485598
      maglogo: N
    pubinfo:
      dt: Sep2019
      vid: 43
      iid: 9
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        138200103
        138200103
        138200103
        10.1007/s10916-019-1416-0
        138200103
      ppct: 1
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.
      aug:
        au:
          Thaha, M. Mohammed
          Kumar, K. Pradeep Mohan
          Murugan, B. S.
          Dhanasekeran, S.
          Vijayakarthick, P.
          Selvi, A. Senthil
        affil: Department of Computer Science and Engineering, J.N.N Institute of Engineering, Chennai, India
      sug:
        subj:
          Brain Neoplasms Diagnosis
          Early Detection of Cancer
          Magnetic Resonance Imaging Methods
          Neural Networks (Computer) Methods
          Image Processing, Computer Assisted Methods
          Algorithms
          Computer Simulation
          Signal Processing, Computer Assisted
          Image Interpretation, Computer Assisted
          Skull
      ab: In medical image processing, Brain tumor segmentation plays an important role. Early detection of these tumors is highly required to give Treatment of patients. The patient's life chances are improved by the early detection of it. The process of diagnosing the brain tumoursby the physicians is normally carried out using a manual way of segmentation. It is time consuming and a difficult one. To solve these problems, Enhanced Convolutional Neural Networks (ECNN) is proposed with loss function optimization by BAT algorithm for automatic segmentation method. The primary aim is to present optimization based MRIs image segmentation. Small kernels allow the design in a deep architecture. It has a positive consequence with respect to overfitting provided the lesser weights are assigned to the network. Skull stripping and image enhancement algorithms are used for pre-processing. The experimental result shows the better performance while comparing with the existing methods. The compared parameters are precision, recall and accuracy. In future, different selecting schemes can be adopted to improve the accuracy.
      pubtype: Academic Journal
      doctype:
        algorithm
        computer program
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N