Acta Optica Sinica, Volume. 41, Issue 15, 1511001(2021)
Deep Learning-Based Detection Method for Mitosis in Living Cells
Fig. 1. Optical path structure of an inverted bright field biological microscope
Fig. 2. Some images with different size from OFC dataset
Fig. 3. Cells of different classifications. (a) Class ‘without_division’; (b) class ‘with_division’
Fig. 4. Network architecture of DetectNet
Fig. 5. Convolutional module
Fig. 6. Residual block
Fig. 7. CSP module
Fig. 8. Attention module
Fig. 9. Learning rate and loss curves. (a) Learning rate; (b) loss
Fig. 10. Visualization of cell detection results
Fig. 11. P-R curves of cell detection results under different IoU thresholds. (a) Class ‘with_division’; (b) class ‘without_division’
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Baosheng Ke, Ying Li, Zhenbo Ren, Jianglei Di, Jianlin Zhao. Deep Learning-Based Detection Method for Mitosis in Living Cells[J]. Acta Optica Sinica, 2021, 41(15): 1511001
Category: Imaging Systems
Received: Dec. 9, 2020
Accepted: Mar. 5, 2021
Published Online: Aug. 11, 2021
The Author Email: Di Jianglei (jiangleidi@nwpu.edu.cn), Zhao Jianlin (jlzhao@nwpu.edu.cn)