Search Results for author: Meiyun Wang

Found 9 papers, 5 papers with code

Quad-Net: Quad-domain Network for CT Metal Artifact Reduction

1 code implementation24 Jul 2022 Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan

Here we extend the state-of-the-art dual-domain deep network approach into a quad-domain counterpart so that all the features in the sinogram, image, and their corresponding Fourier domains are synergized to eliminate metal artifacts optimally without compromising structural subtleties.

Computed Tomography (CT) Metal Artifact Reduction

Validation of a deep learning mammography model in a population with low screening rates

no code implementations1 Nov 2019 Kevin Wu, Eric Wu, Yaping Wu, Hongna Tan, Greg Sorensen, Meiyun Wang, Bill Lotter

We specifically explore how a deep learning algorithm trained on screening mammograms from the US and UK generalizes to mammograms collected at a hospital in China, where screening is not widely implemented.

Breast Cancer Detection

Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation

no code implementations6 Aug 2019 Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shan-Shan Wang

From the different modalities, one modality that contributes most to the results is selected as the master modality, which supervises the information selection of the other assistant modalities.

Image Segmentation Segmentation +1

CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke

2 code implementations16 Jul 2019 Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shan-Shan Wang

To address these challenges, this paper proposes a Cross-Level fusion and Context Inference Network (CLCI-Net) for the chronic stroke lesion segmentation from T1-weighted MR images.

Image Segmentation Lesion Segmentation +1

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