Understanding Transfer Learning for Chest Radiograph Clinical Report Generation with Modified Transformer Architectures. (arXiv:2205.02841v1 [eess.IV])

Web: http://arxiv.org/abs/2205.02841

The image captioning task is increasingly prevalent in artificial
intelligence applications for medicine. One important application is clinical
report generation from chest radiographs. The clinical writing of unstructured
reports is time consuming and error-prone. An automated system would improve
standardization, error reduction, time consumption, and medical accessibility.
In this paper we demonstrate the importance of domain specific pre-training and
propose a modified transformer architecture for the medical image captioning
task. To accomplish this, we train a series of modified transformers …

arxiv learning report transfer transfer learning transformer