Search Results for author: Ruobing Huang

Found 19 papers, 2 papers with code

Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound

no code implementations26 Mar 2025 Yuhao Huang, Ao Chang, Haoran Dou, Xing Tao, Xinrui Zhou, Yan Cao, Ruobing Huang, Alejandro F Frangi, Lingyun Bao, Xin Yang, Dong Ni

(3) Implementation of a progressive curriculum learning strategy to enable agents to interact with the environment in a progressively challenging manner, thereby enhancing learning efficiency.

Multi-agent Reinforcement Learning Segmentation +2

EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation

1 code implementation26 Sep 2024 Ao Chang, Jiajun Zeng, Ruobing Huang, Dong Ni

Convolutional neural networks have primarily led 3D medical image segmentation but may be limited by small receptive fields.

Image Segmentation Mamba +3

Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification

no code implementations25 Sep 2024 Xinrui Zhou, Yuhao Huang, Haoran Dou, Shijing Chen, Ao Chang, Jia Liu, Weiran Long, Jian Zheng, Erjiao Xu, Jie Ren, Ruobing Huang, Jun Cheng, Wufeng Xue, Dong Ni

In the medical field, the limited availability of large-scale datasets and labor-intensive annotation processes hinder the performance of deep models.

One-Stop Automated Diagnostic System for Carpal Tunnel Syndrome in Ultrasound Images Using Deep Learning

no code implementations8 Feb 2024 Jiayu Peng, Jiajun Zeng, Manlin Lai, Ruobing Huang, Dong Ni, Zhenzhou Li

In the reader study, it demonstrated comparable performance with the average performance of the experienced in classifying the CTS, while outperformed that of the inexperienced radiologists in terms of classification metrics (e. g., accuracy score of 3. 59% higher and F1 score of 5. 85% higher).

Diagnostic

Is Two-shot All You Need? A Label-efficient Approach for Video Segmentation in Breast Ultrasound

no code implementations7 Feb 2024 Jiajun Zeng, Dong Ni, Ruobing Huang

Breast lesion segmentation from breast ultrasound (BUS) videos could assist in early diagnosis and treatment.

All Lesion Segmentation +5

PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation

no code implementations26 Aug 2023 Ao Chang, Xing Tao, Xin Yang, Yuhao Huang, Xinrui Zhou, Jiajun Zeng, Ruobing Huang, Dong Ni

It can prevent the highly unfavorable scenarios, such as encountering a blank mask as the initial input after the first interaction.

Image Segmentation Medical Image Segmentation +3

Hierarchical Agent-based Reinforcement Learning Framework for Automated Quality Assessment of Fetal Ultrasound Video

no code implementations14 Apr 2023 Sijing Liu, Qilong Ying, Shuangchi He, Xin Yang, Dong Ni, Ruobing Huang

Ultrasound is the primary modality to examine fetal growth during pregnancy, while the image quality could be affected by various factors.

Diagnostic

Multi-Attribute Attention Network for Interpretable Diagnosis of Thyroid Nodules in Ultrasound Images

no code implementations9 Jul 2022 Van T. Manh, Jianqiao Zhou, Xiaohong Jia, Zehui Lin, Wenwen Xu, Zihan Mei, Yijie Dong, Xin Yang, Ruobing Huang, Dong Ni

To overcome this, we propose a novel deep learning framework called multi-attribute attention network (MAA-Net) that is designed to mimic the clinical diagnosis process.

Attribute

Fine-grained Correlation Loss for Regression

no code implementations1 Jul 2022 Chaoyu Chen, Xin Yang, Ruobing Huang, Xindi Hu, Yankai Huang, Xiduo Lu, Xinrui Zhou, Mingyuan Luo, Yinyu Ye, Xue Shuang, Juzheng Miao, Yi Xiong, Dong Ni

In this work, we propose to revisit the classic regression tasks with novel investigations on directly optimizing the fine-grained correlation losses.

Attribute Image Quality Assessment +4

Personalized Diagnostic Tool for Thyroid Cancer Classification using Multi-view Ultrasound

no code implementations1 Jul 2022 Han Huang, Yijie Dong, Xiaohong Jia, Jianqiao Zhou, Dong Ni, Jun Cheng, Ruobing Huang

Furthermore, finding an optimal way to integrate multi-view information also relies on the experience of clinicians and adds further difficulty to accurate diagnosis.

Cancer Classification Decision Making +1

HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images

no code implementations14 Apr 2022 Jikuan Qian, Rui Li, Xin Yang, Yuhao Huang, Mingyuan Luo, Zehui Lin, Wenhui Hong, Ruobing Huang, Haining Fan, Dong Ni, Jun Cheng

The hybrid framework consists of a pre-trained backbone and several searched cells (i. e., network building blocks), which takes advantage of the strengths of both NAS and the expert knowledge from existing convolutional neural networks.

image-classification Image Classification +2

Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks

no code implementations18 Nov 2019 Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete

To improve the performance of most neuroimiage analysis pipelines, brain extraction is used as a fundamental first step in the image processing.

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