激光与光电子学进展, 2020, 57 (22): 221003, 网络出版: 2020-11-05   

基于混合损失函数的改进型U-Net肝部医学影像分割方法 下载: 2361次

Improved U-Net Based on Mixed Loss Function for Liver Medical Image Segmentation
作者单位
1 天津大学微电子学院, 天津 300072
2 天津市成像与感知微电子技术重点实验室, 天津 300072
引用该论文

黄泳嘉, 史再峰, 王仲琦, 王哲. 基于混合损失函数的改进型U-Net肝部医学影像分割方法[J]. 激光与光电子学进展, 2020, 57(22): 221003.

Yongjia Huang, Zaifeng Shi, Zhongqi Wang, Zhe Wang. Improved U-Net Based on Mixed Loss Function for Liver Medical Image Segmentation[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221003.

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黄泳嘉, 史再峰, 王仲琦, 王哲. 基于混合损失函数的改进型U-Net肝部医学影像分割方法[J]. 激光与光电子学进展, 2020, 57(22): 221003. Yongjia Huang, Zaifeng Shi, Zhongqi Wang, Zhe Wang. Improved U-Net Based on Mixed Loss Function for Liver Medical Image Segmentation[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221003.

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