Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty

no code implementations • 14 Oct 2022 • Wenting Xu, Zhenghua Xu, Junyang Chen, Chang Qi, Thomas Lukasiewicz

In this article, we propose a hybrid reinforced medical report generation method with m-linear attention and repetition penalty mechanism (HReMRG-MR) to overcome these problems.

Medical Report Generation

Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty

no code implementations • 16 Nov 2020 • Wenting Xu, Chang Qi, Zhenghua Xu, Thomas Lukasiewicz

To reduce doctors' workload, deep-learning-based automatic medical report generation has recently attracted more and more research efforts, where attention mechanisms and reinforcement learning are integrated with the classic encoder-decoder architecture to enhance the performance of deep models.

Decoder Medical Report Generation

SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images

no code implementations • 15 Nov 2020 • Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu

We first generate MRI images on limited datasets, then we trained three popular classification models to get the best model for tumor classification.

Data Augmentation General Classification +2