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Proceedings Paper

An experimental study of interstitial lung tissue classification in HRCT images using ANN and role of cost functions
Author(s): Jatindra K. Dash; Mandar Kale; Sudipta Mukhopadhyay; Niranjan Khandelwal; Nidhi Prabhakar; Mandeep Garg; Naveen Kalra
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Paper Abstract

In this paper, we investigate the effect of the error criteria used during a training phase of the artificial neural network (ANN) on the accuracy of the classifier for classification of lung tissues affected with Interstitial Lung Diseases (ILD). Mean square error (MSE) and the cross-entropy (CE) criteria are chosen being most popular choice in state-of-the-art implementations. The classification experiment performed on the six interstitial lung disease (ILD) patterns viz. Consolidation, Emphysema, Ground Glass Opacity, Micronodules, Fibrosis and Healthy from MedGIFT database. The texture features from an arbitrary region of interest (AROI) are extracted using Gabor filter. Two different neural networks are trained with the scaled conjugate gradient back propagation algorithm with MSE and CE error criteria function respectively for weight updation. Performance is evaluated in terms of average accuracy of these classifiers using 4 fold cross-validation. Each network is trained for five times for each fold with randomly initialized weight vectors and accuracies are computed. Significant improvement in classification accuracy is observed when ANN is trained by using CE (67.27%) as error function compared to MSE (63.60%). Moreover, standard deviation of the classification accuracy for the network trained with CE (6.69) error criteria is found less as compared to network trained with MSE (10.32) criteria.

Paper Details

Date Published: 3 March 2017
PDF: 6 pages
Proc. SPIE 10134, Medical Imaging 2017: Computer-Aided Diagnosis, 101343U (3 March 2017); doi: 10.1117/12.2254343
Show Author Affiliations
Jatindra K. Dash, National Institute of Science and Technology (India)
Mandar Kale, Indian Institute of Technology Kharagpur (India)
Sudipta Mukhopadhyay, Indian Institute of Technology Kharagpur (India)
Niranjan Khandelwal, Postgraduate Institute of Medical Education & Research (India)
Nidhi Prabhakar, Postgraduate Institute of Medical Education & Research (India)
Mandeep Garg, Postgraduate Institute of Medical Education & Research (India)
Naveen Kalra, Postgraduate Institute of Medical Education & Research (India)


Published in SPIE Proceedings Vol. 10134:
Medical Imaging 2017: Computer-Aided Diagnosis
Samuel G. Armato; Nicholas A. Petrick, Editor(s)

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