Applications of intelligent techniques in pulmonary imaging
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Publisher
Elsevier
Reference24 articles.
1. Applications of artificial intelligence in common pulmonary diseases;Choudhury;Artif. Intell. Med. Imaging,2022
2. X. Wang, Y. Peng, L. Lu, Z. Lu, M. Bagheri, R.M. Summers. Chestx-ray8: hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases. In: Proceedings of the IEEE conference on computer vision pattern recognition; 2017. p. 2097–2106.
3. Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs;Gu;Comput. Biol. Med.,2018
4. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge;Setio;Med. Image Anal.,2017
5. W. Zhu, C. Liu, W. Fan, X. Xie. Deeplung: deep 3d dual path nets for automated pulmonary nodule detection and classification. In: 2018 IEEE winter conference on applications of computer vision; 2018. p. 673–81.
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