Hierarchical medical image report adversarial generation with hybrid discriminator.
Journal:
Artificial intelligence in medicine
Published Date:
Mar 21, 2024
Abstract
BACKGROUND AND OBJECTIVES: Generating coherent reports from medical images is an important task for reducing doctors' workload. Unlike traditional image captioning tasks, the task of medical image report generation faces more challenges. Current models for generating reports from medical images often fail to characterize some abnormal findings, and some models generate reports with low quality. In this study, we propose a model to generate high-quality reports from medical images.