Search Results for author: Lei Tang

Found 7 papers, 0 papers with code

Progressive Dual Priori Network for Generalized Breast Tumor Segmentation

no code implementations20 Oct 2023 Li Wang, Lihui Wang, Zixiang Kuai, Lei Tang, Yingfeng Ou, Chen Ye, Yuemin Zhu

To promote the generalization ability of breast tumor segmentation models, as well as to improve the segmentation performance for breast tumors with smaller size, low-contrast amd irregular shape, we propose a progressive dual priori network (PDPNet) to segment breast tumors from dynamic enhanced magnetic resonance images (DCE-MRI) acquired at different sites.

Segmentation Tumor Segmentation

propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans

no code implementations29 May 2023 ZiFan Chen, Jiazheng Li, Jie Zhao, Yiting Liu, Hongfeng Li, Bin Dong, Lei Tang, Li Zhang

This model consists of a proposing stage for coarse segmentation and a refining stage for improved segmentation, using two-way branches for enhanced performance and an up-down strategy for efficiency.

Segmentation Tumor Segmentation

JDSR-GAN: Constructing An Efficient Joint Learning Network for Masked Face Super-Resolution

no code implementations25 Mar 2021 Guangwei Gao, Lei Tang, Fei Wu, Huimin Lu, Jian Yang

In this work, we treat the mask occlusion as image noise and construct a joint and collaborative learning network, called JDSR-GAN, for the masked face super-resolution task.

Denoising Super-Resolution

Spatial Structure Engineering in Enhancing Performance of Mosaic Electrocatalysts

no code implementations19 Feb 2021 Yuting Luo, Sum Wai Chiang, Lei Tang, Zhiyuan Zhang, Fengning Yang, Qiangmin Yu, Baofu Ding, Bilu Liu

Understanding the mechanism and developing strategies toward efficient electrocatalysis at gas-liquidsolid interfaces are important yet challenging.

Applied Physics Materials Science

Reference Product Search

no code implementations11 Apr 2019 Chu Wang, Lei Tang, Shujun Bian, Da Zhang, Zuohua Zhang, Yongning Wu

For a product of interest, we propose a search method to surface a set of reference products.

Representation Learning Retrieval

Thresholding for Top-k Recommendation with Temporal Dynamics

no code implementations6 Jun 2015 Lei Tang

This work focuses on top-k recommendation in domains where underlying data distribution shifts overtime.

Recommendation Systems

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