Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography - Concepedia

Concepedia

Publication | Open Access

Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography

DOI Full Paper Access

39

Citations

26

References

2022

Year

Kang Hsu, Da‐Yo Yuh, Shao-Chieh Lin, Pin-Sian Lyu, Guan-Xin Pan, Yi-Chun Zhuang, Chia‐Ching Chang, Hsu‐Hsia Peng, Tung-Yang Lee, Cheng‐Hsuan Juan,

Scientific Reports

References

	Year	Citations

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