Feature extraction from histopathological images based on nucleus-guided convolutional neural network for breast lesion classification

作者：

Highlights：

• A feature extraction framework based on convolutional neural network is proposed.

• A convolutional neural network is designed under the constraint of nuclei locations.

• Features including the pattern and spatial distribution of the nuclei are extracted.

• The proposed algorithm achieves a good classification performance with fast speed.

摘要

•A feature extraction framework based on convolutional neural network is proposed.•A convolutional neural network is designed under the constraint of nuclei locations.•Features including the pattern and spatial distribution of the nuclei are extracted.•The proposed algorithm achieves a good classification performance with fast speed.

论文关键词：Feature extraction,Histopathological image,Breast cancer,Convolutional neural network,Computer-aided diagnosis

论文评审过程：Received 18 November 2016, Revised 25 April 2017, Accepted 13 May 2017, Available online 17 May 2017, Version of Record 25 May 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.05.010