RT-SRTS: Angle-Agnostic Real-Time Simultaneous 3D Reconstruction and Tumor Segmentation from Single X-Ray Projection

1 code implementation • 12 Oct 2023 • Miao Zhu, Qiming Fu, Bo Liu, Mengxi Zhang, Bojian Li, Xiaoyan Luo, Fugen Zhou

In this study, a novel imaging method RT-SRTS is proposed which integrates 3D imaging and tumor segmentation into one network based on multi-task learning (MTL) and achieves real-time simultaneous 3D reconstruction and tumor segmentation from a single X-ray projection at any angle.

3D Reconstruction Multi-Task Learning +2

AGCN: Augmented Graph Convolutional Network for Lifelong Multi-label Image Recognition

1 code implementation • 10 Mar 2022 • Kaile Du, Fan Lyu, Fuyuan Hu, Linyan Li, Wei Feng, Fenglei Xu, Qiming Fu

The key challenges of LML image recognition are the construction of label relationships on Partial Labels of training data and the Catastrophic Forgetting on old classes, resulting in poor generalization.

Coarse to Fine: Multi-label Image Classification with Global/Local Attention

no code implementations • 26 Dec 2020 • Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu, Baochuan Fu

Since multi-label image classification is very complicated, people seek to use the attention mechanism to guide the classification process.

General Classification Multi-Label Image Classification

SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning

no code implementations • 15 Apr 2019 • Zihan Ye, Fan Lyu, Linyan Li, Qiming Fu, Jinchang Ren, Fuyuan Hu

First, we pre-train a Semantic Rectifying Network (SRN) to rectify semantic space with a semantic loss and a rectifying loss.

Generative Adversarial Network Zero-Shot Learning