Search Results for author: Yun Gu

Found 10 papers, 1 papers with code

FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation

no code implementations7 Sep 2021 Minghui Zhang, Xin Yu, Hanxiao Zhang, Hao Zheng, Weihao Yu, Hong Pan, Xiangran Cai, Yun Gu

Compared to other state-of-the-art transfer learning methods, our method accurately segmented more bronchi in the noisy CT scans.

Transfer Learning

Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset

no code implementations24 Jun 2021 Yulei Qin, Yun Gu, Hanxiao Zhang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu

The correlation between nodules and the counting number of airways and vessels that contact or project towards nodules are respectively (OR=22. 96, \chi^2=105. 04) and (OR=7. 06, \chi^2=290. 11).

Computed Tomography (CT)

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT

no code implementations10 Dec 2020 Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang

Training convolutional neural networks (CNNs) for segmentation of pulmonary airway, artery, and vein is challenging due to sparse supervisory signals caused by the severe class imbalance between tubular targets and background.

Representation Learning

Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation

1 code implementation24 Nov 2020 Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang

Due to the small size and scattered spatial distribution of peripheral bronchi, this is hampered by severe class imbalance between foreground and background regions, which makes it challenging for CNN-based methods to parse distal small airways.

Action Segmentation

Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention

no code implementations19 Mar 2020 Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang

In particular, we incorporate a disparity-based constraint mechanism into the generation of SR images in a deep neural network framework with an additional atrous parallax-attention modules.

Image Super-Resolution

Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning

no code implementations8 Nov 2017 Yang Hu, Yun Gu, Jie Yang, Guang-Zhong Yang

In robotic surgery, task automation and learning from demonstration combined with human supervision is an emerging trend for many new surgical robot platforms.

4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation

no code implementations20 Jul 2016 Yun Gu, Guang-Zhong Yang, Jie Yang, Kun Sun

The proposed method is comprised of three stages, the frame smoothing, spatial-temporal embedding and final classification.

General Classification

Data Driven Robust Image Guided Depth Map Restoration

no code implementations26 Dec 2015 Wei Liu, Yun Gu, Chunhua Shen, Xiaogang Chen, Qiang Wu, Jie Yang

Depth maps captured by modern depth cameras such as Kinect and Time-of-Flight (ToF) are usually contaminated by missing data, noises and suffer from being of low resolution.

Cross-Modality Hashing with Partial Correspondence

no code implementations18 Feb 2015 Yun Gu, Haoyang Xue, Jie Yang

Learning a hashing function for cross-media search is very desirable due to its low storage cost and fast query speed.

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