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Yucong Li

2 accepted papers

2021

A Probabilistic Model for Segmentation of Ambiguous 3D Lung Nodule

Xiaojiang Long, Wei Chen, Qiuli Wang, Xiaohong Zhang, Chen Liu, Yucong Li +1
ICASSP 2021accepted

Many medical images domains suffer from inherent ambiguities. A feasible approach to resolve the ambiguity of lung nodule in the segmentation task is to learn a distribution over segmentations based on a given 2D lung nodule image. Whereas lung nodule with 3D structure contains dense 3D spatial info…

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2021

DFDM: A Deep Feature Decoupling Module for Lung Nodule Segmentation

Wei Chen, Qiuli Wang, Sheng Huang, Xiaohong Zhang, Yucong Li, Chen Liu
ICASSP 2021accepted

In this paper, we propose a novel feature decoupling method to tackle two critical problems in the lung nodule segmentation task: (i) ambiguity of nodule boundary leads to the imprecise segmentation boundary and (ii) the high false positive rate of segmentation result. Our motivation is that an accu…

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