Detection of Lung Cancer Nodule using Artificial Neural Network

  Sheetal V Prabhu,  J. A. Shaikh

: Lung cancer is the primary cause of tumor deaths for both sexes in most countries. Early diagnosis has an important prognostic value and has a huge impact on treatment planning Our approach is based on multiscale processing and artificial neural networks (ANNs). The problem of nodule detection is faced by using a two-stage architecture including: 1) an attention focusing subsystem that processes whole radiographs to locate possible nodular regions ensuring high sensitivity; 2) a validation subsystem that processes regions of interest to evaluate the likelihood of the presence of a nodule, so as to reduce false alarms and increase detection specificity. The proposed system’s aim is to detect & classify lung cancer for early and effective treatment. In this work, we are proposing a computer aided diagnostic (CAD) system for automated classification of cancer stage. The ANN comprised three layers (one input layer, one hidden layer, and one output layer) Trained by back propagation. In proposed method back propagation feed forward neural network with Levenberg-Marquardt Algorithm may be used. Matlab based GUI is implemented. According to the parameters, Accuracy, Sensitivity, Specificity is calculated. According to the Experimental results 98% accuracy.

Keywords- Computer-aided diagnosis (CAD) Segmentation, Extraction, Computer aided diagnosis, Region Growing, ROC, Features extraction, CT images(Computer tomography

Unique Identification Number - IJEDR1801104
Page Number(s) - 599-605
Pubished in - Volume 6 | Issue 1 | March 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Sheetal V Prabhu,  J. A. Shaikh,   "Detection of Lung Cancer Nodule using Artificial Neural Network", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 1, pp.599-605, March 2018, Available at :http://www.ijedr.org/papers/IJEDR1801104.pdf