Development of algorithms for the classification of the benign and malignant tumors

被引：0
|
作者：
Zouaoui, L. [1 ]
Azizi, H. [1 ]
Boughazi, M. [2 ]
Akdag, H. [3 ]
机构：
[1] Ferhat Abbas Univ, Fac Sci, Dept Phys, Setif, Algeria
[2] Univ Annaba, Fac Engn, Dept Elect, Annaba, Algeria
[3] CReSTIC, Reims, France
来源：
INTELLIGENT SYSTEMS AND AUTOMATION | 2008年 / 1019卷
关键词：
algorithm; classification; nearest neighbor; cancer;
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 main objective of this paper is to develop and implement new algorithms of classification and show that the method of the nearest neighbors rule can be also applied successfully to deal with the medical classification problems. In this context, we developed two original algorithms of classification by the method of the nearest neighbors rule and we validated them by a real application in the field of classification for the assistance to the treatment of the breast cancer to detect possible benign or malignant tumors.
引用
收藏
页码：503 / +
页数：2
相关论文
共 50 条
  • [1] Rapid identification of benign and malignant pancreatic tumors using serum Raman spectroscopy combined with classification algorithms
    Yan, Ziwei
    Ma, Chunlong
    Mo, Jiaqing
    Han, Wei
    Lv, Xiaoyi
    Chen, Chen
    Chen, Cheng
    Nie, Xiaohan
    OPTIK, 2020, 208 (208):
  • [2] Classification of malignant and benign liver tumors using a radiomics approach
    Starmans, Martijn P. A.
    Miclea, Razvan L.
    van der Voort, Sebastian R.
    Niessen, Wiro J.
    Thomeer, Maarten G.
    Klein, Stefan
    MEDICAL IMAGING 2018: IMAGE PROCESSING, 2018, 10574
  • [3] Classification of malignant and benign tumors of the lung by infrared spectral histopathology (SHP)
    Akalin, Ali
    Mu, Xinying
    Kon, Mark A.
    Ergin, Ayseguel
    Remiszewski, Stan H.
    Thompson, Clay M.
    Raz, Dan J.
    Diem, Max
    LABORATORY INVESTIGATION, 2015, 95 (04) : 406 - 421
  • [4] An effective convolutional neural network for classification of benign and malignant breast and thyroid tumors from ultrasound images
    Tian, Ronghui
    Yu, Miao
    Liao, Lingmin
    Zhang, Chunquan
    Zhao, Jiali
    Sang, Liang
    Qian, Wei
    Wang, Zhiguo
    Huang, Long
    Ma, He
    PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE, 2023, 46 (03) : 995 - 1013
  • [5] Effect of Reclassification on the Incidence of Benign and Malignant Renal Tumors
    Skolarus, Ted A.
    Serrano, Maria F.
    Grubb, Robert L., III
    Katz, Matthew D.
    Bullock, Travis L.
    Gao, Feng
    Humphrey, Peter A.
    Kibel, Adam S.
    JOURNAL OF UROLOGY, 2010, 183 (02) : 455 - 458
  • [6] Diagnostics of benign and malignant tumors of the orbit
    Jonas, Rahul A.
    Rokohl, Alexander C.
    Kakkassery, Vinodh
    Ponto, Katharina A.
    Lohneis, Philipp
    Heindl, Ludwig M.
    OPHTHALMOLOGE, 2021, 118 (10): : 987 - 994
  • [7] Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm
    Han, Seung Seog
    Kim, Myoung Shin
    Lim, Woohyung
    Park, Gyeong Hun
    Park, Ilwoo
    Chang, Sung Eun
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2018, 138 (07) : 1529 - 1538
  • [8] Detection of Benign and Malignant Tumors in Skin Empowered with Transfer Learning
    Ghazal, Taher M.
    Hussain, Sajid
    Khan, Muhammad Farhan
    Khan, Muhammad Adnan
    Said, Raed A. T.
    Ahmad, Munir
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [9] Research on the Classification of Benign and Malignant Parotid Tumors Based on Transfer Learning and a Convolutional Neural Network
    Zhang, Hongbin
    Lai, Huicheng
    Wang, Yan
    Lv, Xiaoyi
    Hong, Yue
    Peng, Jianming
    Zhang, Ziwei
    Chen, Chen
    Chen, Cheng
    IEEE ACCESS, 2021, 9 : 40360 - 40371
  • [10] MRI in differentiation of benign and malignant tongue tumors
    Liu, Xinli
    Cheng, Dongfeng
    Wang, Wen
    FRONTIERS IN BIOSCIENCE-LANDMARK, 2015, 20 : 614 - 620
12345