A Survey on Biomedical Image Captioning
arXiv:1905.13302
Abstract
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.
SiVL 2019
References in corpus (4)
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
- Microsoft COCO Captions: Data Collection and Evaluation Server
- CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning