Improved U-Net Based on Mixed Loss Function for Liver Medical Image Segmentation

Yongjia Huang; Zaifeng Shi; Zhongqi Wang; Zhe Wang

doi:10.3788/LOP57.221003

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 22 >Page 221003 > Article

Laser & Optoelectronics Progress
Vol. 57, Issue 22, 221003 (2020)

Improved U-Net Based on Mixed Loss Function for Liver Medical Image Segmentation

Yongjia Huang¹, Zaifeng Shi^1、2、*, Zhongqi Wang¹, and Zhe Wang¹

Author Affiliations

¹School of Microelectronics, Tianjin University, Tianjin 300072, China

²Tianjin Key Laboratory of Microelectronic Technology for Imaging and Sensing, Tianjin 300072, China

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DOI: 10.3788/LOP57.221003 Cite this Article Set citation alerts

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 Copy Citation Text

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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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