An encoder-decoder model with multi-view late fusion and medical concept attention achieves claimed state-of-the-art performance on chest X-ray report generation using the Indiana University dataset.
In: Proceedings of the IEEE conference on Computer Vision and Pattern Recognition
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Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment
An encoder-decoder model with multi-view late fusion and medical concept attention achieves claimed state-of-the-art performance on chest X-ray report generation using the Indiana University dataset.