Classification of non-small cell lung cancer using one-dimensional convolutional neural network

作者：

Highlights：

• Automated Staging and Histopathological Grading of Non Small Cell Lung Cancer.

• Radiogenomics Collection from The Cancer Imaging Archive was considered.

• Texture based segmentation was done and Binary Large Object features were extracted.

• A Deep Neural Network model by using 1-DConvolution was proposed.

• A lightweight model with higher accuracy than its contemporaries was achieved.

摘要

•Automated Staging and Histopathological Grading of Non Small Cell Lung Cancer.•Radiogenomics Collection from The Cancer Imaging Archive was considered.•Texture based segmentation was done and Binary Large Object features were extracted.•A Deep Neural Network model by using 1-DConvolution was proposed.•A lightweight model with higher accuracy than its contemporaries was achieved.

论文关键词：Lung cancer,Deep learning,Staging,Grading

论文评审过程：Received 22 July 2019, Revised 19 February 2020, Accepted 12 May 2020, Available online 23 May 2020, Version of Record 3 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113564