no code implementations • 4 Jan 2023 • Zhilin Zheng, Xu Fang, Jiawen Yao, Mengmeng Zhu, Le Lu, Lingyun Huang, Jing Xiao, Yu Shi, Hong Lu, Jianping Lu, Ling Zhang, Chengwei Shao, Yun Bian
Lymph node (LN) metastasis status is one of the most critical prognostic and cancer staging factors for patients with resectable pancreatic ductal adenocarcinoma (PDAC), or in general, for any types of solid malignant tumors.
1 code implementation • ICCV 2021 • Qiusheng Huang, Zhilin Zheng, Xueqi Hu, Li Sun, Qingli Li
The two types of synthesis, either label- or reference-based, have substantial differences.
no code implementations • 30 Dec 2020 • Yirui Wang, Kang Zheng, Chi-Tung Chang, Xiao-Yun Zhou, Zhilin Zheng, Lingyun Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao
Exploiting available medical records to train high performance computer-aided diagnosis (CAD) models via the semi-supervised learning (SSL) setting is emerging to tackle the prohibitively high labor costs involved in large-scale medical image annotations.
no code implementations • 17 Jul 2020 • Yan Zhang, Zhilin Zheng, Binyu He, Li Sun
This paper proposes to learn the sample posterior and the class prior distribution in the latent space, so that not only representative features but also the uncertainty can be built by the model.
no code implementations • 29 Oct 2019 • Ziye Zhang, Li Sun, Zhilin Zheng, Qingli Li
Depending on whether the label is related with the spatial structure, the output $z_s$ from the condition mapping network is used either as a style code or a spatial structure code.
1 code implementation • CVPR 2019 • Zhilin Zheng, Li Sun
But different from CVAE, we present a method for disentangling the latent space into the label relevant and irrelevant dimensions, $\bm{\mathrm{z}}_s$ and $\bm{\mathrm{z}}_u$, for a single input.