IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer. (arXiv:2308.05633v1 [cs.CV])

Automated medical report generation has become increasingly important in
medical analysis. It can produce computer-aided diagnosis descriptions and thus
significantly alleviate the doctors' work. Inspired by the huge success of
neural machine translation and image captioning, various deep learning methods
have been proposed for medical report generation. However, due to the inherent
properties of medical data, including data imbalance and the length and
correlation between report sequences, the generated reports by existing methods
may exhibit linguistic fluency but lack adequate …

analysis arxiv automated become captioning computer deep learning diagnosis doctors hierarchical image machine machine translation medical neural machine translation report success transformer translation work