Improvement of renal image recognition through resolution enhancement

作者：

Highlights：

• Image resolution enhancement is beneficial for computer-aided diagnosis systems.

• The Sampling Kantorovich Algorithm (SKA) improves the quality of CT scans.

• SKA works well in neural network-based systems for classification and segmentation.

• The proposed method boosts the performance of renal image recognition by 2-3pp.

• Both downstream tasks equally benefit from the additional processing step.

摘要

•Image resolution enhancement is beneficial for computer-aided diagnosis systems.•The Sampling Kantorovich Algorithm (SKA) improves the quality of CT scans.•SKA works well in neural network-based systems for classification and segmentation.•The proposed method boosts the performance of renal image recognition by 2-3pp.•Both downstream tasks equally benefit from the additional processing step.

论文关键词：Resolution enhancement,Computer-aided diagnosis,Kidney segmentation,Cancer classification,Texture analysis,Computed tomography

论文评审过程：Received 21 June 2022, Revised 11 August 2022, Accepted 11 September 2022, Available online 17 September 2022, Version of Record 30 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118836