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Session Ⅱ : Artificial Intelligence

Brain Tumor Prediction through Behavior Analysis of Cells Growth Using Machine Learning Techniques

첫 페이지 보기
  • 발행기관
    한국차세대컴퓨팅학회 바로가기
  • 간행물
    한국차세대컴퓨팅학회 학술대회 바로가기
  • 통권
    The 8th International Conference on Next Generation Computing 2022 (2022.10)바로가기
  • 페이지
    pp.65-67
  • 저자
    Nouh Sabri Elmitwally, Muhammad Aqib Freed, Muhammad Waseem Iqbal, Aasma Ashraf, Farukh Muneem, Muhammad Aqeel
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A419740

원문정보

초록

영어
Brain tumor is a very terrible disease. Brain tumor is caused by an increased number of cells. The presence of the skull layer around the brain makes it tough in studying the behavior of growth cells. It also raises the complication for the identification of disease. The initial discovery of a brain tumor is necessary to defend the survival of patients. Frequently, the brain cancer segmentation, and classification through the MRI images technique. Though, the radiologists are not providing actual visualization of brain cells in MRI images due to the irregular growth of cells, which forms of cells are growing rapidly and slow at some stage in brain tumors in the brain. So, automatic strategies are required to evaluate thoughts tumors exactly from MRI images in this research automatic, MRI brain tumors are used for classification, segmentation, and Behavior analysis of cell growth. The problem of visualization of cell growth and behavior analysis of brain cells is solved through MRI images which enhance the detection of cancer. To analyze the behavior of cell growth, which forms of cells are growing rapidly and slow at some stage in brain tumors, and analyze the area of images in which type of cells is affected. Single models are less efficient. We will use ensemble models which would also be helpful for better performance and accuracy.

목차

Abstract
I. INTRODUCTION
A. Objectives
B. Problem statement
C. Research Questions
D. Our contributions
II. LITERATURE REVIEW
III METHODOLOGY
IV RESULTS AND DISCUSSIONS
V CONCLUSION
References

키워드

Index Terms MRI CNN SVM Detection Cancer.

저자

  • Nouh Sabri Elmitwally [ School of Computing and Digital Technology, BirminghamCity University, Birmingham B4 7XG, UK ] Corresponding Author
  • Muhammad Aqib Freed [ Department of Computer Science Superior University Lahore-54500, Pakistan ]
  • Muhammad Waseem Iqbal [ Department of Software Engineering Superior University Lahore-54500, Pakistan ] Corresponding Author
  • Aasma Ashraf [ Department of Computer Science Superior University Lahore-54500, Pakistan ]
  • Farukh Muneem [ Department of Computer Science Superior University Lahore-54500, Pakistan ]
  • Muhammad Aqeel [ Department of Software EngineeringSuperior University Lahore-54500, Pakistan ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국차세대컴퓨팅학회 [Korean Institute of Next Generation Computing]
  • 설립연도
    2005
  • 분야
    공학>컴퓨터학
  • 소개
    본 학회는 차세대 PC 및 그 관련분야의 학술활동을 통하여 차세대 PC의 학문 및 기술발전을 도모하고 산업발전 및 국제협력 증진을 목적으로 한다.

간행물

  • 간행물명
    한국차세대컴퓨팅학회 학술대회
  • 간기
    반년간
  • 수록기간
    2021~2025
  • 십진분류
    KDC 566 DDC 004

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