Automatic Report Generation for Chest X-Ray Images via Adversarial Reinforcement Learning

Automatic Report Generation for Chest X-Ray Images via Adversarial Reinforcement Learning

An adversarial reinforced report-generation framework for chest x-ray images is proposed. Previous medical-report-generation models are mostly trained by minimizing the cross-entropy loss or further optimizing the common image-captioning metrics, such as CIDEr, ignoring diagnostic accuracy, which sh...

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Bibliographic Details
Main Authors: Daibing Hou, Zijian Zhao, Yuying Liu, Faliang Chang, Sanyuan Hu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Medical report generation
encoder-decoder
adversarial training
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/9343868/

Internet

https://ieeexplore.ieee.org/document/9343868/

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