A deep learning method for automatic evaluation of diagnostic information from multi-stained histopathological images

作者：

Highlights：

• An automatic method is presented for quantifying multi-stained histopathological images.

• A new information score is computed to evaluate diagnostic information.

• The classification provides supplementary opinion in the cross-slide pathology diagnosis.

• The method can serve as a generalized framework to analyze different histology subtypes.

摘要

•An automatic method is presented for quantifying multi-stained histopathological images.•A new information score is computed to evaluate diagnostic information.•The classification provides supplementary opinion in the cross-slide pathology diagnosis.•The method can serve as a generalized framework to analyze different histology subtypes.

论文关键词：Information evaluation,Deep learning,Siamese network,Multi-stained histopathological images

论文评审过程：Received 27 April 2022, Revised 26 August 2022, Accepted 27 August 2022, Available online 1 September 2022, Version of Record 6 September 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.109820