Title: Volume-based inter difference XOR pattern: a new pattern for pulmonary nodule detection in CT images

Authors: A. Chitradevi; N. Nirmal Singh; K. Jayapriya

Addresses: Department of Computer Science and Engineering, PSN Engineering College, Tirunelveli, Tamil Nadu, India ' Department Electronics and Communication Engineering, VV College of Engineering, Thisayanvilai, Tamil Nadu, India ' Department of Computer Science and Information Technology, Nadar Saraswathi College of Arts and Science, Theni, Tamil Nadu, India

Abstract: The pulmonary nodule identification which paves the path to the cancer diagnosis is a challenging task today. The proposed work, volume-based inter difference XOR pattern (VIDXP) provides an efficient lung nodule detection system using a 3D texture-based pattern which is formed by XOR pattern calculation of inter-frame grey value differences among centre frame with its neighbourhood frames in rotationally clockwise direction, for every segmented nodule. Different classifiers such as random forest (RF), decision tree (DT) and AdaBoost are used with ten trails of five-fold cross validation test for classification. The experimental analysis in the public database, lung image database consortium-image database resource initiative (LIDC-IDRI) shows that proposed scheme gives better accuracy while comparing with existing approaches. Further, the proposed scheme is enhanced by combining shape information using histogram of oriented gradient (HOG) which improves the classification accuracy.

Keywords: pulmonary nodule; classification; pre-process; segmentation; feature extraction; LIDC-IDRI; medical image segmentation; MIS; accuracy; histogram of oriented gradient; HOG; VIDXP.

DOI: 10.1504/IJBET.2021.116098

International Journal of Biomedical Engineering and Technology, 2021 Vol.36 No.2, pp.172 - 188

Received: 04 May 2018
Accepted: 12 Sep 2018
Published online: 12 Jul 2021 *

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