A bottleneck detection approach for separating overlapped cells

作者：

Highlights：

• We propose a new bottleneck detection method to separate overlapped cells.

• The bottleneck points are detected by slope difference distribution.

• The largest concave parts are used to select the bottleneck points for overlapped cell separation.

• The proposed approach is significantly more robust than state of the art methods.

摘要

•We propose a new bottleneck detection method to separate overlapped cells.•The bottleneck points are detected by slope difference distribution.•The largest concave parts are used to select the bottleneck points for overlapped cell separation.•The proposed approach is significantly more robust than state of the art methods.

论文关键词：Slope difference distribution,Bottleneck detection,Cell segmentation,Threshold selection

论文评审过程：Received 4 April 2020, Revised 26 April 2022, Accepted 27 April 2022, Available online 30 April 2022, Version of Record 2 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117449