A Survey on Biomedical Image Captioning

Vasiliki Kougia, John Pavlopoulos, Ion Androutsopoulos
5/26/2019
cs.CVcs.AI

Official code: nlpaueb/bio_image_caption (60 stars, MIT, last commit 2022-12-08).

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.

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Code Implementations(1)

nlpaueb/bio_image_captionOfficial100%
MIT

Biomedical Image Captioning

6015Python, Jupyter NotebookApr 5, 20193 years agoMIT

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Cite this paper

@article{kougia2019survey,
  title  = {A Survey on Biomedical Image Captioning},
  author = {Vasiliki Kougia and John Pavlopoulos and Ion Androutsopoulos},
  year   = {2019},
  eprint = {1905.13302},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1905.13302}
}

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