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

no code implementations • 12 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.

Generative Adversarial Network

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

no code implementations • 21 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 +2

Multiple Instance Segmentation in Brachial Plexus Ultrasound Image Using BPMSegNet

no code implementations • 22 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