A Survey on Biomedical Image Captioning

May 26, 2019 ยท The Cartographer ยท ๐Ÿ› Proceedings of the Second Workshop on Shortcomings in Vision and Language

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Survey on Biomedical Image Captioning"

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Authors Vasiliki Kougia, John Pavlopoulos, Ion Androutsopoulos arXiv ID 1905.13302 Category cs.CV: Computer Vision Cross-listed cs.AI Citations 96 Venue Proceedings of the Second Workshop on Shortcomings in Vision and Language Last Checked 1 day ago
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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