Smart Karyotyping Image Selection Based on Commonsense Knowledge Reasoning

Abstract

Karyotyping requires chromosome instances to be segmented and classified from the metaphase images. One of the difficulties in chromosome segmentation is that the chromosomes are randomly positioned in the image, and there is a great chance for chromosomes to be touched or overlap with others. It is always much easier for operators and automatic programs to tackle images without overlapping chromosomes than ones with largely overlapped chromosomes. In order to reduce the processing difficulty, adding a smart image selection procedure ahead of segmentation is practical and necessary. In this paper, we introduce the Smart Karyotyping Image Selection (SKIS) based on Commonsense Knowledge Reasoning. The initial experiment demonstrates that the proposed approach can select the expected images based on reasoning and benefit following karyotyping processes.

Keywords:

• Commonsense knowledge
• image selection
• karyotyping
• knowledge reasoning

Additional information

Funding

The authors would like to thank the editors and anonymous reviewers for their valuable comments and suggestions on this paper. This work was supported by the Kemoshen Science Research Program.