Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0417001(2023)

Classification Method of Benign and Malignant Pulmonary Nodules Based on MDRA-net

Manman Fei, Chunxiao Chen*, Liang Wang, and Xue Fu
Author Affiliations
  • Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, Jiangsu, China
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    References(18)

    [1] Yang F, Wei G H, Cao H et al. Research progress on content-based medical image retrieval[J]. Laser & Optoelectronics Progress, 57, 060003(2020).

    [2] Wood D E, Kazerooni E A, Baum S L et al. Lung cancer screening, version 3.2018, NCCN clinical practice guidelines in oncology[J]. Journal of the National Comprehensive Cancer Network: JNCCN, 16, 412-441(2018).

    [3] Kodama K, Higashiyama M, Okami J et al. Oncologic outcomes of segmentectomy versus lobectomy for clinical T1a N0 M0 non-small cell lung cancer[J]. The Annals of Thoracic Surgery, 101, 504-511(2016).

    [4] Cao C, Gupta S, Chandrakumar D et al. Meta-analysis of intentional sublobar resections versus lobectomy for early stage non-small cell lung cancer[J]. Annals of Cardiothoracic Surgery, 3, 134-141(2014).

    [5] Cao B, Yang F, Ma J G. Application of deep learning methods in diagnosis of lung nodules[J]. Laser & Optoelectronics Progress, 58, 1600005(2021).

    [6] Hua K L, Hsu C H, Hidayati S C et al. Computer-aided classification of lung nodules on computed tomography images via deep learning technique[J]. Onco Targets and Therapy, 8, 2015-2022(2015).

    [7] Shen W, Zhou M, Yang F et al. Multi-scale convolutional neural networks for lung nodule classification[J]. Information Processing in Medical Imaging, 24, 588-599(2015).

    [8] Shen W, Zhou M, Yang F et al. Multi-crop convolutional neural networks for lung nodule malignancy suspiciousness classification[J]. Pattern Recognition, 61, 663-673(2017).

    [9] Xie Y T, Xia Y, Zhang J P et al. Knowledge-based collaborative deep learning for benign-malignant lung nodule classification on chest CT[J]. IEEE Transactions on Medical Imaging, 38, 991-1004(2019).

    [10] Dey R, Lu Z J, Hong Y. Diagnostic classification of lung nodules using 3D neural networks[C], 774-778(2018).

    [11] Liu Y J, Zhang X B, Zhang J W et al. DenseNet-centercrop: a novel convolutional network for lung nodule classification[J]. Journal of Zhejiang University (Science Edition), 47, 20-26(2020).

    [12] Ye F, Wang L Y, Hong W et al. Benign and malignant diagnosis of pulmonary nodules based on SE-CapsNet[J]. Chinese Journal of Biomedical Engineering, 40, 71-80(2021).

    [13] Ruan H Y, Chen Z L, Cheng Y S et al. Detection of pulmonary nodules based on C-3D deformable convolutional neural network model[J]. Laser & Optoelectronics Progress, 57, 041013(2020).

    [14] Rickmann A M, Roy A G, Sarasua I et al. ‘Project & Excite’ modules for segmentation of volumetric medical scans[M]. Shen D G, Liu T M, Peters T M, et al. Medical image computing and computer assisted intervention-MICCAI 2019, 11765, 39-47(2019).

    [15] Hu J, Shen L, Albanie S et al. Squeeze-and-excitation networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 2011-2023(2020).

    [16] Pang S C, Zhang Y Q, Ding M et al. A deep model for lung cancer type identification by densely connected convolutional networks and adaptive boosting[J]. IEEE Access, 8, 4799-4805(2020).

    [17] Han F F, Wang H F, Zhang G P et al. Texture feature analysis for computer-aided diagnosis on pulmonary nodules[J]. Journal of Digital Imaging, 28, 99-115(2015).

    [18] Xie Y T, Zhang J P, Xia Y. Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT[J]. Medical Image Analysis, 57, 237-248(2019).

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    Manman Fei, Chunxiao Chen, Liang Wang, Xue Fu. Classification Method of Benign and Malignant Pulmonary Nodules Based on MDRA-net[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0417001

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Oct. 18, 2021

    Accepted: Dec. 21, 2021

    Published Online: Feb. 13, 2023

    The Author Email: Chen Chunxiao (ccxbme@nuaa.edu.cn)

    DOI:10.3788/LOP212753

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