Cancer detection is generally carried out manually by trained professionals and these techniques are majorly helpful in the advanced stage detection, also it involves a very tedious procedure and highly dependent on the given individual. This introduces the high possibility of human error in the detection process which necessitate an automated process. Hence, this paper aims at early detection of cancer through an automated process to minimize human error and making the process more accurate and hassle-free. In the proposed work, image processing algorithms and artificial neural network have been employed to design an automated process for early stage detection of lung cancer.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Lung cancer detection using digital image processing and artificial neural networks


    Contributors:


    Publication date :

    2017-04-01


    Size :

    248933 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    An Algorithm for Incident Detection Using Artificial Neural Networks

    Ki, Yong-Kul / Jeong, Woo-Teak / Kwon, Hee-Je et al. | IEEE | 2019


    Fault Detection in Railway Tracks Using Artificial Neural Networks

    Welankiwar, Aalhad / Sherekar, Shubham / Bhagat, Amol P. et al. | IEEE | 2018


    An Algorithm for Incident Detection Using Artificial Neural Networks

    Yong-Kul Ki / Woo-Teak Jeong / Hee-Je Kwon et al. | DOAJ | 2019

    Free access

    Digital image processing and neural networks for vehicle license plate identification

    Anagnostopoulos, C. / Kayafas, E. / Loumos, V. | Tema Archive | 2000


    Neural Networks In Image Processing

    Anundson, R. L. | British Library Online Contents | 1993