HscoreNet: A Deep network for estrogen and progesterone scoring using breast IHC images

作者：

Highlights：

• Deep learning (DL) architecture has been proposed for automated scoring of Estrogen and Progesterone using breast cancer IHC Images.

• The proposed DL architecture consisted of encoder, decoder, and scoring layer.

• The concept of the scoring layer is new.

• Results show broad applicability and state-of-the-art performance.

摘要

•Deep learning (DL) architecture has been proposed for automated scoring of Estrogen and Progesterone using breast cancer IHC Images.•The proposed DL architecture consisted of encoder, decoder, and scoring layer.•The concept of the scoring layer is new.•Results show broad applicability and state-of-the-art performance.

论文关键词：Breast,Estrogen,Progesterone,Encoder,Decoder

论文评审过程：Received 17 February 2019, Revised 19 November 2019, Accepted 9 January 2020, Available online 10 January 2020, Version of Record 21 January 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107200