Detection of masses and architectural distortions in digital breast tomosynthesis images using fuzzy and a contrario approaches

作者：

Highlights：

• We propose a complete computer aided detection scheme for digital breast tomosynthesis data set.

• Our method focuses on the detection of architectural distortions and masses.

• We assess the performance of our system on clinical data and show that it achieves results comparable to state of the art methods.

摘要

Highlights•We propose a complete computer aided detection scheme for digital breast tomosynthesis data set.•Our method focuses on the detection of architectural distortions and masses.•We assess the performance of our system on clinical data and show that it achieves results comparable to state of the art methods.

论文关键词：Digital breast tomosynthesis,Computer aided detection,Masses,Architectural distortions,Fuzzy connected filter,A contrario detection,Classification,Support vector machine

论文评审过程：Received 11 October 2012, Revised 9 December 2013, Accepted 22 January 2014, Available online 1 February 2014.

论文官网地址：https://doi.org/10.1016/j.patcog.2014.01.009