Artificial Intelligence for Prevention of Breast Cancer

被引:0
|
作者
Lancheros-Cuesta, Diana [1 ,2 ]
Bustos, Juan Camilo [1 ,2 ]
Rubiano, Nicolas [1 ,2 ]
Tumialan, Antonio [1 ,2 ]
机构
[1] Univ La Salle, Bogota, Colombia
[2] Ingn Automatizaci Grp AVARC, Bogota, Colombia
关键词
Neural networks; Database; Breast cancer; Computational tool;
D O I
10.1007/978-3-031-20611-5_9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper show a computational tool that allow the analysis of the information obtained from a database that contains features of the fine needle aspiration (FNA) procedure, whose goal is to diagnose breast masses applying artificial intelligence. The methodology include the recollection of data, process of cleaning, neural networks and Bayesian's networks for prediction of the data, evaluation and comparison.
引用
收藏
页码:101 / 108
页数:8
相关论文
共 50 条
  • [31] Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects
    Diaz, Oliver
    Rodriguez-Ruiz, Alejandro
    Sechopoulos, Ioannis
    EUROPEAN JOURNAL OF RADIOLOGY, 2024, 175
  • [32] Artificial intelligence in the diagnosis of breast cancer Yesterday, today and tomorrow
    Bennani-Baiti, B.
    Baltzer, P. A. T.
    RADIOLOGE, 2020, 60 (01): : 56 - 63
  • [33] How will artificial intelligence impact breast cancer research efficiency?
    Franceschini, Gianluca
    Mason, Elena Jane
    Orlandi, Armando
    D'Archi, Sabatino
    Sanchez, Alejandro Martin
    Masetti, Riccardo
    EXPERT REVIEW OF ANTICANCER THERAPY, 2021, 21 (10) : 1067 - 1070
  • [34] Diagnosis of breast cancer for modern mammography using artificial intelligence
    Karthiga, R.
    Narasimhan, K.
    Amirtharajan, Rengarajan
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2022, 202 : 316 - 330
  • [35] Artificial Intelligence Grading of Breast Cancer: A Study of Ensemble Learning
    Dalton, Leslie
    MODERN PATHOLOGY, 2022, 35 (SUPPL 2) : 107 - 108
  • [36] Artificial Intelligence and Breast Cancer Management: From Data to the Clinic
    Feng, Kaixiang
    Yi, Zongbi
    Xu, Binghe
    CANCER INNOVATION, 2025, 4 (02):
  • [37] Are artificial intelligence systems useful in breast cancer screening programs?
    Diaz, O.
    Rodriguez-Ruiz, A.
    Gubern-Merida, A.
    Marti, R.
    Chevalier, M.
    RADIOLOGIA, 2021, 63 (03): : 236 - 244
  • [38] Discrepancies in breast cancer screening and hypothesis of artificial intelligence support
    Riccardi, M. T.
    Rosca, V
    Forestiero, F.
    Rudniki, T.
    Testa, A.
    Cerone, G.
    Rossi, E.
    Trinito, M. O.
    EUROPEAN JOURNAL OF PUBLIC HEALTH, 2024, 34
  • [39] Artificial Intelligence Grading of Breast Cancer: A Study of Ensemble Learning
    Dalton, Leslie
    LABORATORY INVESTIGATION, 2022, 102 (SUPPL 1) : 107 - 108
  • [40] Mutational signatures for breast cancer diagnosis using artificial intelligence
    Patrick Odhiambo
    Harrison Okello
    Annette Wakaanya
    Clabe Wekesa
    Patrick Okoth
    Journal of the Egyptian National Cancer Institute, 35