Automatic image and text-based description for colorectal polyps using BASIC classification

作者：

Highlights：

• A CADx system that automatically generates text descriptions related to the BASIC classification from a single polyp image

• A solution that is modality-independent and accepts the information of WL, BLI and LCI images

• A system capable of providing text-based suggestions to experts and novice gastroenterologists

• A development towards a more powerful explainable AI and automated report generation

摘要

•A CADx system that automatically generates text descriptions related to the BASIC classification from a single polyp image•A solution that is modality-independent and accepts the information of WL, BLI and LCI images•A system capable of providing text-based suggestions to experts and novice gastroenterologists•A development towards a more powerful explainable AI and automated report generation

论文关键词：Blue light imaging,Linked color imaging,BASIC,Image captioning,Artificial intelligence,Deep learning,CADx

论文评审过程：Received 29 April 2021, Revised 1 September 2021, Accepted 21 September 2021, Available online 28 September 2021, Version of Record 2 October 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102178