Diagnostic captioning: a survey

作者:John Pavlopoulos, Vasiliki Kougia, Ion Androutsopoulos, Dimitris Papamichail

摘要

Diagnostic captioning (DC) concerns the automatic generation of a diagnostic text from a set of medical images of a patient collected during an examination. DC can assist inexperienced physicians, reducing clinical errors. It can also help experienced physicians produce diagnostic reports faster. Following the advances of deep learning, especially in generic image captioning, DC has recently attracted more attention, leading to several systems and datasets. This article is an extensive overview of DC. It presents relevant datasets, evaluation measures, and up-to-date systems. It also highlights shortcomings that hinder DC’s progress and proposes future directions.

论文关键词:Medical report generation, Natural language processing, Artificial intelligence, Diagnostic captioning

论文评审过程:

论文官网地址:https://doi.org/10.1007/s10115-022-01684-7