![PDF] A Survey on Biomedical Image Captioning | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/3e7f91e3bcc86360c6eaad7c3bdb3dafbde2bb1e/1-Figure1-1.png)
Image captioning applied to biomedical images can assist and accelerate the diagnosis process followed by clinicians. This article is the first survey of biomedical image captioning, discussing datasets, evaluation measures, and state of the art methods. Additionally, we suggest two baselines, a weak and a stronger one; the latter outperforms all current state of the art systems on one of the datasets.
本文是医疗图像描述的综述文章。
- 数据集
![PDF] A Survey on Biomedical Image Captioning | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/3e7f91e3bcc86360c6eaad7c3bdb3dafbde2bb1e/3-Table1-1.png)
总的来说数据集有三个,IU X-RAY主要是前侧和侧向的胸部X光数据。PEIR GROSS数据集包括许多严重肉眼可见病变的数据。ICLEF-CAPTION包括多种医疗图像数据。
2. 现有方法
![PDF] A Survey on Biomedical Image Captioning | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/3e7f91e3bcc86360c6eaad7c3bdb3dafbde2bb1e/6-Table2-1.png)