CASIA OpenIR  > 模式识别国家重点实验室  > 三维可视计算
SOFTGAN: TOWARDS ACCURATE LUNG NODULE SEGMENTATION VIA SOFT MASK SUPERVISION
Changwei Wang; Rongtao Xu; Shibiao Xu; Weiliang Meng; Jun Xiao; Qimin Peng; Xiaopeng Zhang
2022-07
Conference NameIEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME)
Conference DateJuly 18-22, 2022
Conference PlaceVirtual
Abstract

Accurate lung nodule segmentation from Computed Tomography
(CT) images is crucial to the analysis and diagnosis
of lung diseases such as COVID-19 and lung cancer. However,
due to the variety of lung nodules and the lack of highquality
labeling, accurate lung nodule segmentation is still
a challenging problem. In this paper, we propose a novel
paradigm including an automatic accurate annotation pipeline
and a segmentation network for this task. First, we introduce
a new segmentation mask representation named Soft Mask
which has richer and more accurate edge details description
and better visualization, and we design a universal automatic
Soft Mask annotation pipeline to deal with different datasets.
Besides, we provide a new challenging lung nodules segmentation
dataset with traditional binarized masks and our soft
masks for further studies. Second, we propose an effective
network called SoftGAN that includes an improved backbone
and an adversarial training framework with Soft Mask,
in order to improve the performance of accurate lung nodules
segmentation. Extensive experiments validate that our Soft-
GAN outperforms the state-of-the-art methods for accurate
lung nodule segmentation.

Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/47444
Collection模式识别国家重点实验室_三维可视计算
Corresponding AuthorShibiao Xu; Weiliang Meng
Affiliation1.NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China
2.School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
3.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
4.Aksofy (Beijing) Advanced Technology Co., Ltd., Beijing, China
Recommended Citation
GB/T 7714
Changwei Wang,Rongtao Xu,Shibiao Xu,et al. SOFTGAN: TOWARDS ACCURATE LUNG NODULE SEGMENTATION VIA SOFT MASK SUPERVISION[C],2022.
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