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A Survey on Biomedical Image Captioning
lib:4a9aaea7e43b4e7c (v1.0.0)
Authors: Vasiliki Kougia,John Pavlopoulos,Ion Androutsopoulos
Where published: WS 2019 6
ArXiv: 1905.13302
Document: PDF DOI
Abstract URL: https://arxiv.org/abs/1905.13302v1
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.
Where published: WS 2019 6
ArXiv: 1905.13302
Document: PDF DOI
Abstract URL: https://arxiv.org/abs/1905.13302v1
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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