Structure-aware deep learning for chronic middle ear disease

作者：

Highlights：

• A automatic diagnosis schema for middle ear diseases.

• A criterion for choosing 5 CT feature maps to represent the middle ear.

• Based on the "one vote veto", our study is biased towards the purpose.

• Data augmentation based on the similarity of the left and right middle ears.

• The proposed approach achieves the state-of-the-art results.

摘要

•A automatic diagnosis schema for middle ear diseases.•A criterion for choosing 5 CT feature maps to represent the middle ear.•Based on the "one vote veto", our study is biased towards the purpose.•Data augmentation based on the similarity of the left and right middle ears.•The proposed approach achieves the state-of-the-art results.

论文关键词：Convolutional Neural Networks (CNNs),Computed Tomography (CT),Middle Ear (ME),Chronic Suppurative Otitis Media (CSOM)

论文评审过程：Received 6 November 2021, Revised 14 December 2021, Accepted 7 January 2022, Available online 15 January 2022, Version of Record 25 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116519