Search Results for author: Fandong Zhang

Found 7 papers, 0 papers with code

Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation

no code implementations6 Jan 2023 Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu

To tackle the challenges caused by the sparsity and anisotropy of vessels, a higher percentage of graph nodes are distributed in areas that potentially contain vessels while a higher percentage of edges follow the orientation of potential nearbyvessels.


Domain Invariant Model with Graph Convolutional Network for Mammogram Classification

no code implementations21 Apr 2022 Churan Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang

To resolve this problem, we propose a novel framework, namely Domain Invariant Model with Graph Convolutional Network (DIM-GCN), which only exploits invariant disease-related features from multiple domains.


Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition

no code implementations8 Oct 2021 Mingzhou Liu, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang

Finally, to implement this contextual posterior, we introduce a Transformer that takes the object's information as a reference and locates correlated contextual factors.

Emotion Recognition Object +2

Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection

no code implementations21 May 2021 Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu

In this paper, we propose an Anatomy-aware Graph convolutional Network (AGN), which is tailored for mammogram mass detection and endows existing detection methods with multi-view reasoning ability.

Anatomy Decision Making +2

Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification

no code implementations30 Sep 2020 Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang

Mammogram benign or malignant classification with only image-level labels is challenging due to the absence of lesion annotations.

Classification counterfactual +1

Integrating Feature and Image Pyramid: A Lung Nodule Detector Learned in Curriculum Fashion

no code implementations21 Jul 2018 Benyuan Sun, Zhen Zhou, Fandong Zhang, Xiuli Li, Yizhou Wang

Meanwhile, our sampling strategy halves the training time of the proposal network on LUNA16.

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