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eess.IV2021★ 1 cited
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net
Yanwu Yang, Xutao Guo, Yiwei Pan +3
Accurate medical image segmentation is crucial for diagnosis and analysis. However, the models without calibrated uncertainty estimates might lead to errors in downstream analysis…
eess.IV2021
Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning
Yang Yang, Jiancong Chen, Ruixuan Wang +5
Despite tremendous efforts, it is very challenging to generate a robust model to assist in the accurate quantification assessment of COVID-19 on chest CT images. Due to the nature…