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eess.IV2022★ 1 cited
Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation
Yingao Liu, Fei Yang, Yidong Yang
Automatic deep learning segmentation models has been shown to improve both the segmentation efficiency and the accuracy. However, training a robust segmentation model requires cons…
eess.IV2021
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT
Mengqiu Liu, Ying Liu, Yidong Yang +8
Background: Triage of patients is important to control the pandemic of coronavirus disease 2019 (COVID-19), especially during the peak of the pandemic when clinical resources becom…
eess.IV2021★ 1 cited
Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network
Chengyijue Fang, Yingao Liu, Mengqiu Liu +5
COVID-19 has become a global pandemic and is still posing a severe health risk to the public. Accurate and efficient segmentation of pneumonia lesions in CT scans is vital for trea…