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http://hdl.handle.net/10397/105497
Title: | Automated decision support system for lung cancer detection and classification via enhanced RFCN with multilayer fusion RPN | Authors: | Masood, A Sheng, B Yang, P Li, P Li, H Kim, J Feng, DD |
Issue Date: | Dec-2020 | Source: | IEEE transactions on industrial informatics, Dec. 2020, v. 16, no. 12, p. 7791-7801 | Abstract: | Detection of lung cancer at early stages is critical, in most of the cases radiologists read computed tomography (CT) images to prescribe follow-up treatment. The conventional method for detecting nodule presence in CT images is tedious. In this article, we propose an enhanced multidimensional region-based fully convolutional network (mRFCN) based automated decision support system for lung nodule detection and classification. The mRFCN is used as an image classifier backbone for feature extraction along with the novel multilayer fusion region proposal network (mLRPN) with position-sensitive score maps being explored. We applied a median intensity projection to leverage three-dimensional information from CT scans and introduced deconvolutional layer to adopt proposed mLRPN in our architecture to automatically select the potential region of interest. Our system has been trained and evaluated using LIDC dataset, and the experimental results showed promising detection performance in comparison to the state-of-the-art nodule detection/classification methods, achieving a sensitivity of 98.1% and classification accuracy of 97.91%. | Keywords: | Computer-aided systems Convolutional neural network (CNN) Lung cancer Nodule classification |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on industrial informatics | ISSN: | 1551-3203 | EISSN: | 1941-0050 | DOI: | 10.1109/TII.2020.2972918 | Rights: | ©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication A. Masood et al., "Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN," in IEEE Transactions on Industrial Informatics, vol. 16, no. 12, pp. 7791-7801, Dec. 2020 is available at https://doi.org/10.1109/TII.2020.2972918. |
Appears in Collections: | Journal/Magazine Article |
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