Agile convolutional neural network for pulmonary nodule classification using CT images

International Journal of Computer Assisted Radiology and Surgery
Xinzhuo ZhaoWei Qian

Abstract

To distinguish benign from malignant pulmonary nodules using CT images is critical for their precise diagnosis and treatment. A new Agile convolutional neural network (CNN) framework is proposed to conquer the challenges of a small-scale medical image database and the small size of the nodules, and it improves the performance of pulmonary nodule classification using CT images. A hybrid CNN of LeNet and AlexNet is constructed through combining the layer settings of LeNet and the parameter settings of AlexNet. A dataset with 743 CT image nodule samples is built up based on the 1018 CT scans of LIDC to train and evaluate the Agile CNN model. Through adjusting the parameters of the kernel size, learning rate, and other factors, the effect of these parameters on the performance of the CNN model is investigated, and an optimized setting of the CNN is obtained finally. After finely optimizing the settings of the CNN, the estimation accuracy and the area under the curve can reach 0.822 and 0.877, respectively. The accuracy of the CNN is significantly dependent on the kernel size, learning rate, training batch size, dropout, and weight initializations. The best performance is achieved when the kernel size is set to [Formula: see text], ...Continue Reading

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Citations

Feb 26, 2019·Journal of Thoracic Imaging·Sang Min LeeNamkug Kim
Jun 6, 2019·Physics in Medicine and Biology·Jing GongWeijun Peng
Jun 10, 2020·The Journal of Craniofacial Surgery·Zhuangzhuang LiangHaijun Gui
Aug 21, 2018·Journal of Healthcare Engineering·Hiroyuki Sugimori
Dec 5, 2018·Contrast Media & Molecular Imaging·Margarita KirienkoArturo Chiti
Dec 17, 2019·Frontiers of Medicine·Jiechao MaJianlin Wu
Jun 11, 2020·Cancer Metastasis Reviews·Shailesh Kumar ThakurJaytrilok Choudhary
Apr 26, 2019·International Journal of Computer Assisted Radiology and Surgery·Mundher Al-ShabiMaxine Tan
Jul 18, 2018·Biomedical Engineering Online·Patrice MonkamWei Qian
Apr 23, 2020·Computational Intelligence and Neuroscience·Panpan WuBjörn Schuller
Jun 23, 2019·Journal of X-ray Science and Technology·Xinzhuo ZhaoJianjun Sun
Dec 1, 2020·Chaos, Solitons, and Fractals·Emtiaz HussainMohammad Zavid Parvez
Nov 4, 2020·International Journal of Computer Assisted Radiology and Surgery·Rekka MastouriSaoussen Hantous-Zannad
Feb 4, 2021·Journal of Digital Imaging·Kushal MehtaDavid R Chapman
Mar 2, 2021·Biomedical Signal Processing and Control·Prasad KalaneDavinder Pal Sharma
May 1, 2021·Statistics in Medicine·Yujing Xie, Zhangsheng Yu
May 19, 2021·Medical & Biological Engineering & Computing·Ioannis D ApostolopoulosGeorge S Panayiotakis
Nov 11, 2020·Diagnostic and Interventional Imaging·D BlancJ Brehant
Aug 11, 2021·Academic Radiology·William D LindsayEduardo J Mortani Barbosa
Aug 31, 2021·Computers in Biology and Medicine·Yu GuXiaoqi Lu

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