Brain slices microscopic detection using simplified SSD with Cycle-GAN data augmentation
Weizhou Liu; Long Cheng; Deyuan Meng
2018
会议名称The 25th International Conference on Neural Information Processing
会议日期13-16 Dec. 2018
会议地点Siem Reap
会议举办国Cambodia
摘要Orderly automatic collection of brain slices on the silicon substrate is critical for understanding the working principle of the whole-brain neural network. Accurate and real-time brain slices detection with microscopic CCD is crucial for automatic collection of brain slices. To solve this task, an efficient simplified SSD detection model with Cycle-GAN data augmentation is presented in this paper. The proposed simplified SSD streamlines the detection network of the original SSD architecture, leading to a more rapid detection. Moreover, the proposed Cycle-GAN data augmentation method overcomes the limitation of training images. To verify the effectiveness of the proposed method, experiments are conducted with a self-made brain slices dataset. The experiment results suggest that, the proposed method has a good performance of rapidly detecting brain slices with only a small training dataset.
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/23116
专题复杂系统管理与控制国家重点实验室_先进机器人
推荐引用方式
GB/T 7714
Weizhou Liu,Long Cheng,Deyuan Meng. Brain slices microscopic detection using simplified SSD with Cycle-GAN data augmentation[C],2018.
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