Hessian based approaches for 3D lung nodule segmentation

作者：

Highlights：

• New approaches for lung nodule segmentation are presented.

• Hessian based strategies were used to segment the nodule region.

• The central medialness adaptive approach offers more accurate results.

• The combination of both strategies joins their advantages.

• The combination of strategies outperforms individual strategy results.

摘要

•New approaches for lung nodule segmentation are presented.•Hessian based strategies were used to segment the nodule region.•The central medialness adaptive approach offers more accurate results.•The combination of both strategies joins their advantages.•The combination of strategies outperforms individual strategy results.

论文关键词：Computer-aided diagnosis,Thoracic CT imaging,Lung cancer,Pulmonary nodule segmentation,Hessian-based approaches

论文评审过程：Received 8 February 2016, Revised 6 April 2016, Accepted 13 May 2016, Available online 13 May 2016, Version of Record 18 May 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.024