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Cancer Growth Prediction via Artificial Neural Networks

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJBSBT) 바로가기
  • 간행물
    International Journal of Bio-Science and Bio-Technology SCOPUS 바로가기
  • 통권
    vol.2 no.2 (2010.06)바로가기
  • 페이지
    pp.1-10
  • 저자
    Rishi Pal, Pardeep Garg, Rajiv Chechi, Sandeep Kumar, Naresh Kumar
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A147454

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

원문정보

초록

영어
Artificial Neural Network (ANN) abstracts the chemical events at synapses into simple transfer functions, usually sigmoid in shape. Through a variable topological connectedness, they are capable of learning, optimizing, recognizing patterns and other pseudo-cognitive functions. Most cells in the organism communicate by chemical signals of a variety of types, neurons being special because of their highly specialized anatomy. Seven primary sites for tumors are identified: 1.Buccal Mucosa 2. Tongue, 3.Retromolar Trigone 4. Floor of Mouth 5.Ventral Tongue 6. Oropharynx 7. Lower Alveolus. Ten secondary regions of lymph nodes metastasis are observed: five regions each on the same and opposite side (ipsilateral/contralateral) as the primary tumor site.: In this paper a study is carried out on oral squamous cell carcinoma using ANN and data analysis approach is explored with two ANN methods:- (1) a supervised multilayer feed forward back propagation (back-prop) method, and (2) an unsupervised self-organizing map (SOM) method. This experience provides insight into implementation of ANN and directions to future investigation. The results from back-prop are comparable to that using multidimensional scaling (MDS) with respect to prediction of lymph nodes that have highest percentage of being metastasized, while SOM requires further work to identify clustering for individual primary cancer as well as next level of lymph node metastases..

목차

Abstract
 1. Introduction
  1.1 Stages of Cancer
  1.2 Avascular Growth
  1.3 Vascularization
  1.4 Metastasis
 2. The Biological Problem
 3. The Model
 4. Results
 5. Future Work
 6. Conclusion
 7. References

키워드

ANN Back Propagation MDS SOM metastates..

저자

  • Rishi Pal [ Electronics & Communication Engineering Department Haryana College of Technology & Management, Kaithal, Haryana, India ]
  • Pardeep Garg [ Electronics & Communication Engineering Department Haryana College of Technology & Management, Kaithal, Haryana, India ]
  • Rajiv Chechi [ Electronics & Communication Engineering Department Haryana College of Technology & Management, Kaithal, Haryana, India ]
  • Sandeep Kumar [ Electronics & Communication Engineering Department Haryana College of Technology & Management, Kaithal, Haryana, India ]
  • Naresh Kumar [ Electronics & Communication Engineering Department Haryana College of Technology & Management, Kaithal, Haryana, India ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJBSBT) [Science & Engineering Research Support Center, Republic of Korea(IJBSBT)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Bio-Science and Bio-Technology
  • 간기
    격월간
  • pISSN
    2233-7849
  • 수록기간
    2009~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Bio-Science and Bio-Technology vol.2 no.2

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