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Journal of Imaging Informatics in Medicine

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01-02-2020 | Computed Tomography

Classification of CT Scan Images of Lungs Using Deep Convolutional Neural Network with External Shape-Based Features

Authors: Varun Srivastava, Ravindra Kr. Purwar

Published in: Journal of Imaging Informatics in Medicine | Issue 1/2020

Abstract

In this paper, a simplified yet efficient architecture of a deep convolutional neural network is presented for lung image classification. The images used for classification are computed tomography (CT) scan images obtained from two scientifically used databases available publicly. Six external shape-based features, viz. solidity, circularity, discrete Fourier transform of radial length (RL) function, histogram of oriented gradient (HOG), moment, and histogram of active contour image, have also been identified and embedded into the proposed convolutional neural network. The performance is measured in terms of average recall and average precision values and compared with six similar methods for biomedical image classification. The average precision obtained for the proposed system is found to be 95.26% and the average recall value is found to be 69.56% in average for the two databases.

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Title: Classification of CT Scan Images of Lungs Using Deep Convolutional Neural Network with External Shape-Based Features
Authors: Varun Srivastava
Ravindra Kr. Purwar
Publication date: 01-02-2020
Publisher: Springer International Publishing
Keywords: Computed Tomography
Computed Tomography
Published in: Journal of Imaging Informatics in Medicine / Issue 1/2020
Print ISSN: 2948-2925
Electronic ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-019-00245-9

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Classification of CT Scan Images of Lungs Using Deep Convolutional Neural Network with External Shape-Based Features

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