Development and validation of a deep learning model based on cascade mask regional convolutional neural network to noninvasively and accurately identify human round spermatids.
开发和验证基于级联掩模区域卷积神经网络的深度学习模型，以无创、准确地识别人类圆形精子细胞。
期刊:Journal of Advanced Research
影响因子:13
doi:10.1016/j.jare.2025.03.059
Sun Yujiao, Shao Shihao, Huang Jiangwei, Shi Hao, Yan Liying, Lu Yongjie, Liu Ping, Jiang Yuqiang, Qiao Jie, Zhang Li
