Lung Nodule Detection Based on YOLOv3 Deep Learning with Limited Datasets
Zhaohui Bu1, Xuejun Zhang2,3,*, Jianxiang Lu4, Huan Lao5, Chan Liang2, Xianfu Xu2, Yini Wei2, Hongjie Zeng2
Molecular & Cellular Biomechanics, Vol.19, No.1, pp. 17-28, 2022, DOI:10.32604/mcb.2022.018318
- 12 January 2022
Abstract The early symptom of lung tumor is always appeared as nodule on CT scans, among which 30% to 40% are malignant according to statistics studies. Therefore, early detection and classification of lung nodules are crucial to the treatment of lung cancer. With the increasing prevalence of lung cancer, large amount of CT images waiting for diagnosis are huge burdens to doctors who may missed or false detect abnormalities due to fatigue. Methods: In this study, we propose a novel lung nodule detection method based on YOLOv3 deep learning algorithm with only one preprocessing step is… More >