3D automatic levels propagation approach to breast MRI tumor segmentation
作者：
Highlights：
• A new method named 3D Automatic Levels Propagation Approach (3D-ALPA) is proposed.
• 3D-ALPA is an extension of the recent 2D Levels Propagation Approach (2D-LPA) method.
• 3D-ALPA is automatic, supports multi-tumor, and multi-plane segmentation.
• 3D-ALPA has been evaluated on the two datasets 3D CMH-LIMED and RIDER.
• The experimental tests of 3D-ALPA have yielded very satisfying results.
摘要
•A new method named 3D Automatic Levels Propagation Approach (3D-ALPA) is proposed.•3D-ALPA is an extension of the recent 2D Levels Propagation Approach (2D-LPA) method.•3D-ALPA is automatic, supports multi-tumor, and multi-plane segmentation.•3D-ALPA has been evaluated on the two datasets 3D CMH-LIMED and RIDER.•The experimental tests of 3D-ALPA have yielded very satisfying results.
论文关键词：Breast MRI,Breast tumor,2D/3D multi-tumor segmentation,Automatic approach,Automatic thresholding,Multi-view representation
论文评审过程：Received 26 January 2020, Revised 1 September 2020, Accepted 1 September 2020, Available online 5 September 2020, Version of Record 7 September 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113965
