A Survey on Biomedical Image Captioning

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 (8)

• Very Deep Convolutional Networks for Large-Scale Image Recognition
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Cited by in corpus (3)

• DAISI: Database for AI Surgical Instruction
• Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays
• RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams