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- Title
基于三维卷积神经网络的肺结节探测与定位方法.
- Authors
侯智超; 杨杨; 李晓琴
- Abstract
A method for automatic detection and localization of pulmonary nodules based on three-dimensional (3D) convolutional neural networks for computed tomography(CT) images of lungs was proposed. Based on the study conducted on the open source dataset LUNA16, the data were pre-processed with pixel normalization and coordinate conversion. Positive samples were expanded using random translation, rotation, and flip, and random sampling was conducted for negative samples. A 3D convolutional neural network was constructed and the network parameters were adjusted during the training process until the best performance was obtained. The model was also designed to label lung nodules in the 3D space of the lung. The sensitivity of the model was tested to be 93.03% and the specificity was 97.39%, indicating that the proposed method can detect and label nodules more accurately.
- Publication
Chinese Journal of Bioinformatics, 2022, Vol 20, Issue 1, p28
- ISSN
1672-5565
- Publication type
Academic Journal
- DOI
10.12113/202012007