Search Results for author: Yaqi Wang

Found 16 papers, 5 papers with code

Source-free Domain Adaptation for Multi-site and Lifespan Brain Skull Stripping

no code implementations8 Mar 2022 Yunxiang Li, Ruilong Dan, Shuai Wang, Yifan Cao, Xiangde Luo, Chenghao Tan, Gangyong Jia, Huiyu Zhou, Yaqi Wang, Li Wang

In this paper, we design a source-free domain adaptation framework (SDAF) for multi-site and lifespan skull stripping that can accomplish domain adaptation without access to source domain images.

Domain Adaptation Skull Stripping

Semantic Similarity Computing Model Based on Multi Model Fine-Grained Nonlinear Fusion

no code implementations5 Feb 2022 Peiying Zhang, Xingzhe Huang, Yaqi Wang, Chunxiao Jiang, Shuqing He, Haifeng Wang

Experimental results show that the matching of sentence similarity calculation method based on multi model nonlinear fusion is 84%, and the F1 value of the model is 75%.

Semantic Similarity Semantic Textual Similarity +1

Dispensed Transformer Network for Unsupervised Domain Adaptation

no code implementations28 Oct 2021 Yunxiang Li, Jingxiong Li, Ruilong Dan, Shuai Wang, Kai Jin, Guodong Zeng, Jun Wang, Xiangji Pan, Qianni Zhang, Huiyu Zhou, Qun Jin, Li Wang, Yaqi Wang

To mitigate this problem, a novel unsupervised domain adaptation (UDA) method named dispensed Transformer network (DTNet) is introduced in this paper.

Unsupervised Domain Adaptation

3D Object Detection Combining Semantic and Geometric Features from Point Clouds

no code implementations10 Oct 2021 Hao Peng, Guofeng Tong, Zheng Li, Yaqi Wang, Yuyuan Shao

The SGNet proposed in this paper has achieved state-of-the-art results for 3D object detection in the KITTI dataset, especially in the detection of small-size objects such as cyclists.

3D Object Detection

GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation

1 code implementation30 Sep 2021 Yunxiang Li, Shuai Wang, Jun Wang, Guodong Zeng, Wenjun Liu, Qianni Zhang, Qun Jin, Yaqi Wang

In this paper, we propose a novel end-to-end U-Net like Group Transformer Network (GT U-Net) for the tooth root segmentation.

Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images

1 code implementation26 Sep 2021 Yibao Sun, Giussepi Lopez, Yaqi Wang, Xingru Huang, Huiyu Zhou, Qianni Zhang

Cancer segmentation in whole-slide images is a fundamental step for viable tumour burden estimation, which is of great value for cancer assessment.

whole slide images

Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings

1 code implementation2 Jul 2021 Yibao Sun, Xingru Huang, Yaqi Wang, Huiyu Zhou, Qianni Zhang

Experimental results show that the SMSE improves the performance for histopathological image classification tasks for both breast and liver cancers by a large margin compared to previous methods.

Histopathological Image Classification Image Classification

AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy

1 code implementation2 May 2021 Yunxiang Li, Guodong Zeng, Yifan Zhang, Jun Wang, Qianni Zhang, Qun Jin, Lingling Sun, Qisi Lian, Neng Xia, Ruizi Peng, Kai Tang, Yaqi Wang, Shuai Wang

Accurate evaluation of the treatment result on X-ray images is a significant and challenging step in root canal therapy since the incorrect interpretation of the therapy results will hamper timely follow-up which is crucial to the patients' treatment outcome.

General Classification

High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detection

no code implementations7 Mar 2021 Yunxiang Li, Yifan Zhang, Yaqi Wang, Shuai Wang, Ruizi Peng, Kai Tang, Qianni Zhang, Jun Wang, Qun Jin, Lingling Sun

As the most economical and routine auxiliary examination in the diagnosis of root canal treatment, oral X-ray has been widely used by stomatologists.

Semantic Segmentation

Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images

1 code implementation11 Nov 2020 Jingxiong Li, Yaqi Wang, Shuai Wang, Jun Wang, Jun Liu, Qun Jin, Lingling Sun

Moreover, massive data collection is impractical for a newly emerged disease, which limited the performance of data thirsty deep learning models.

COVID-19 Diagnosis General Classification

A cascade network for Detecting COVID-19 using chest x-rays

no code implementations1 May 2020 Dailin Lv, Wuteng Qi, Yunxiang Li, Lingling Sun, Yaqi Wang

Then we used SEME-DenseNet169 for fine-grained classification of viral pneumonia and determined if it is caused by COVID-19.

An Adaptive Enhancement Based Hybrid CNN Model for Digital Dental X-ray Positions Classification

no code implementations1 May 2020 Yaqi Wang, Lingling Sun, Yifang Zhang, Dailin Lv, Zhixing Li, Wuteng Qi

In this project, a novel solution based on adaptive histogram equalization and convolution neural network (CNN) is proposed, which automatically performs the task for dental x-rays.

General Classification

DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation

no code implementations3 Mar 2020 Hanxiao Zhang, Jingxiong Li, Mali Shen, Yaqi Wang, Guang-Zhong Yang

Segmentation of brain tumors and their subregions remains a challenging task due to their weak features and deformable shapes.

Brain Tumor Segmentation Tumor Segmentation

Cannot find the paper you are looking for? You can Submit a new open access paper.