Search Results for author: Zhenxi Zhang

Found 10 papers, 0 papers with code

Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation

no code implementations18 Oct 2023 Yanyu Ye, Zhenxi Zhang, Wei Wei, Chunna Tian

To improve the performance of test-time domain adaptation, we propose a multi task consistency guided source-free test-time domain adaptation medical image segmentation method which ensures the consistency of the local boundary predictions and the global prototype representation.

Domain Adaptation Image Segmentation +4

Topology-inspired Cross-domain Network for Developmental Cervical Stenosis Quantification

no code implementations13 Sep 2023 Zhenxi Zhang, Yanyang Wang, Yao Wu, Weifei Wu

However, the vertebral visualization features often lead to abnormal topological structures during keypoint localization, including keypoint distortion with edges and weakly connected structures, which cannot be fully suppressed in either the coordinate or image domain alone.

Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation

no code implementations25 May 2023 Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Fan Yang, Xin Li, Zhicheng Jiao

This paper proposes a cross-supervised learning framework based on dual classifiers (DC-Net), including an evidential classifier and a vanilla classifier.

Image Segmentation Segmentation +2

Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation

no code implementations25 May 2023 Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Xin Li, Fan Yang, Zhicheng Jiao

To address these issues, we propose a self-aware and cross-sample prototypical learning method (SCP-Net) to enhance the diversity of prediction in consistency learning by utilizing a broader range of semantic information derived from multiple inputs.

Image Segmentation Semantic Segmentation +1

Position-Aware Relation Learning for RGB-Thermal Salient Object Detection

no code implementations21 Sep 2022 Heng Zhou, Chunna Tian, Zhenxi Zhang, Chengyang Li, Yuxuan Ding, Yongqiang Xie, Zhongbo Li

FRDF utilizes the directional information between object pixels to effectively enhance the intra-class compactness of salient regions.

object-detection Object Detection +1

Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation

no code implementations3 Jun 2022 Zhenxi Zhang, Chunna Tian, Zhicheng Jiao

In specific, mutual-prototype alignment enhances the information interaction between labeled and unlabeled data.

Image Segmentation Segmentation +2

PixelGame: Infrared small target segmentation as a Nash equilibrium

no code implementations26 May 2022 Heng Zhou, Chunna Tian, Zhenxi Zhang, Chengyang Li, Yongqiang Xie, Zhongbo Li

FNs-player and FPs-player are designed with different strategies: One is to minimize FNs and the other is to minimize FPs.

Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction

no code implementations25 Jun 2020 Zhenxi Zhang, Chunna Tian, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao

Further, we propose a context encoding module to utilize the global predictor from the error map to enhance the feature representation and regularize the networks.

Image Segmentation Medical Image Segmentation +2

An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms

no code implementations17 Jun 2019 Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao

We train the deep encoder-decoder for landmark detection, and combine global landmark configuration with local high-resolution feature responses.


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