Search Results for author: Zhiguang Qin

Found 6 papers, 1 papers with code

Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet

no code implementations22 Dec 2020 Yi Ding, Qiqi Yang, Guozheng Wu, Jian Zhang, Zhiguang Qin

In this paper, a network called Brachial Plexus Multi-instance Segmentation Network (BPMSegNet) is proposed to identify different tissues (nerves, arteries, veins, muscles) in ultrasound images.

Instance Segmentation Semantic Segmentation

DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption

no code implementations21 Dec 2020 Yi Ding, Fuyuan Tan, Zhen Qin, Mingsheng Cao, Kim-Kwang Raymond Choo, Zhiguang Qin

In this paper, a novel deep learning-based key generation network (DeepKeyGen) is proposed as a stream cipher generator to generate the private key, which can then be used for encrypting and decrypting of medical images.

A Multi-View Dynamic Fusion Framework: How to Improve the Multimodal Brain Tumor Segmentation from Multi-Views?

no code implementations21 Dec 2020 Yi Ding, Wei Zheng, Guozheng Wu, Ji Geng, Mingsheng Cao, Zhiguang Qin

Moreover, the multi-view fusion loss, which consists of the segmentation loss, the transition loss and the decision loss, is proposed to facilitate the training process of multi-view learning networks so as to keep the consistency of appearance and space, not only in the process of fusing segmentation results, but also in the process of training the learning network.

Brain Tumor Segmentation MULTI-VIEW LEARNING +1

DeepEDN: A Deep Learning-based Image Encryption and Decryption Network for Internet of Medical Things

no code implementations12 Apr 2020 Yi Ding, Guozheng Wu, Dajiang Chen, Ning Zhang, Linpeng Gong, Mingsheng Cao, Zhiguang Qin

Specifically, in DeepEDN, the Cycle-Generative Adversarial Network (Cycle-GAN) is employed as the main learning network to transfer the medical image from its original domain into the target domain.

Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering

1 code implementation26 Jun 2019 Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua

In this work, we emphasize on modeling the correlations among embedding dimensions in neural networks to pursue higher effectiveness for CF.

Collaborative Filtering Recommendation Systems

RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection

no code implementations30 May 2018 Tian Lan, Yuanyuan Li, Jonah Kimani Murugi, Yi Ding, Zhiguang Qin

The early detection and early diagnosis of lung cancer are crucial to improve the survival rate of lung cancer patients.

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